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“MENGANALISA SIFAT RESTORAN MENGGUNAKAN SPSS” 1470231025 Prida Aditya Teknik Informatika Fakultas Teknik Krisnadwipayana
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“MENGANALISA SIFAT RESTORAN
MENGGUNAKAN SPSS”
1470231025
Prida Aditya
Teknik Informatika
Fakultas Teknik Krisnadwipayana
Tahun Pelajaran 201
Keterangan :
X1 : J-COX2 : MCDONALDX3 : PIZZA HUTX4 : DUNKIN DONUTSX5 : AWY : KFCX1-YX2-YX3-YX4-YX5-YX1-X2X1-X3X1-X4
X1
X2
X3
X4
Y
Kerangka Berpikir
X1-X5X2-X3X2-X4X2-X5X3-X4X3-X5X4-X5X1,X2,X3,X4,Y
Indikator (X1) (X2) (X3) (X4) (X5) (Y)Kebersihan 80 80 85 75 75 85Kerapihan 79 85 90 77 70 90Keramahan 89 80 88 81 74 84Pelayanan 90 86 89 76 70 80Makan 89 80 90 85 77 87Minum 81 75 89 75 78 78Interior 80 80 85 70 70 80Kecepatan 89 80 89 79 79 89Keamanan 80 80 80 80 70 80
X1
Statistics
J-CO
N Valid 9
Missing 0
Mean 84.11
Std. Error of Mean 1.637
Median 81.00
Mode 80a
Std. Deviation 4.910
Variance 24.111
Skewness .248
Std. Error of Skewness .717
Kurtosis -2.475
Std. Error of Kurtosis 1.400
Range 11
Minimum 79
Maximum 90
Sum 757
Percentiles 10 79.00
20 80.00
25 80.00
30 80.00
40 80.00
50 81.00
60 89.00
70 89.00
75 89.00
80 89.00
90 90.00
a. Multiple modes exist. The smallest value is shown
One-Sample Kolmogorov-Smirnov Test
J-CO
N 9
Normal Parametersa Mean 84.11
Std. Deviation 4.910
Most Extreme Differences
Absolute .292
Positive .292
Negative -.285
Kolmogorov-Smirnov Z .877
Asymp. Sig. (2-tailed) .425
a. Test distribution is Normal.
X2
Statistics
MCDONALD
N Valid 9
Missing 0
Mean 80.67
Std. Error of Mean 1.067
Median 80.00
Mode 80
Std. Deviation 3.202
Variance 10.250
Skewness .242
Std. Error of Skewness .717
Kurtosis 1.022
Std. Error of Kurtosis 1.400
Range 11
Minimum 75
Maximum 86
Sum 726
Percentiles
10 75.00
20 80.00
25 80.00
30 80.00
40 80.00
50 80.00
60 80.00
70 80.00
75 82.50
80 85.00
90 86.00
One-Sample Kolmogorov-Smirnov Test
MCDONALD
N 9
Normal Parametersa Mean 80.67
Std. Deviation 3.202
Most Extreme Differences
Absolute .360
Positive .360
Negative -.306
Kolmogorov-Smirnov Z 1.081
Asymp. Sig. (2-tailed) .193
a. Test distribution is Normal.
X3
Statistics
PIZZA HUT
N Valid 9
Missing 0
Mean 87.22
Std. Error of Mean 1.103
Median 89.00
Mode 89
Std. Deviation 3.308
Variance 10.944
Skewness -1.502
Std. Error of Skewness .717
Kurtosis 1.956
Std. Error of Kurtosis 1.400
Range 10
Minimum 80
Maximum 90
Sum 785
Percentiles
10 80.00
20 85.00
25 85.00
30 85.00
40 88.00
50 89.00
60 89.00
70 89.00
75 89.50
80 90.00
90 90.00
One-Sample Kolmogorov-Smirnov Test
PIZZA HUT
N 9
Normal Parametersa Mean 87.22
Std. Deviation 3.308
Most Extreme Differences
Absolute .260
Positive .201
Negative -.260
Kolmogorov-Smirnov Z .780
Asymp. Sig. (2-tailed) .577
a. Test distribution is Normal.
X4
Statistics
DUNKIN DONUTS
N Valid 9
Missing 0
Mean 77.56
Std. Error of Mean 1.435
Median 77.00
Mode 75
Std. Deviation 4.304
Variance 18.528
Skewness .005
Std. Error of Skewness .717
Kurtosis .580
Std. Error of Kurtosis 1.400
Range 15
Minimum 70
Maximum 85
Sum 698
Percentiles
10 70.00
20 75.00
25 75.00
30 75.00
40 76.00
50 77.00
60 79.00
70 80.00
75 80.50
80 81.00
90 85.00
One-Sample Kolmogorov-Smirnov Test
DUNKINDONUTS
N 9
Normal Parametersa Mean 77.56
Std. Deviation 4.304
Most Extreme Differences
Absolute .165
Positive .107
Negative -.165
Kolmogorov-Smirnov Z .496
Asymp. Sig. (2-tailed) .967
a. Test distribution is Normal.
X5
Statistics
AW
N Valid 9
Missing 0
Mean 73.67
Std. Error of Mean 1.258
Median 74.00a
Mode 70
Std. Deviation 3.775
Variance 14.250
Skewness .225
Std. Error of Skewness .717
Kurtosis -1.918
Std. Error of Kurtosis 1.400
Range 9
Minimum 70
Maximum 79
Sum 663
Percentiles
10 .b,c
20 .
25 70.40
30 71.12
40 72.56
50 74.00
60 74.90
70 76.60
75 77.25
80 77.70
90 78.60
a. Calculated from grouped data.
b. The lower bound of the first interval or the upper bound of the lastinterval is not known. Some percentilesare undefined.
c. Percentiles are calculated from grouped data.
One-Sample Kolmogorov-Smirnov Test
AW
N 9
Normal Parametersa Mean 73.67
Std. Deviation 3.775
Most Extreme Differences
Absolute .279
Positive .279
Negative -.166
Kolmogorov-Smirnov Z .836
Asymp. Sig. (2-tailed) .486
a. Test distribution is Normal.
One-Sample Kolmogorov-Smirnov Test
AW
N 9
Normal Parametersa Mean 73.67
Std. Deviation 3.775
Most Extreme Differences
Absolute .279
Positive .279
Negative -.166
Kolmogorov-Smirnov Z .836
Asymp. Sig. (2-tailed) .486
Y
Statistics
KFC
N Valid 9
Missing 0
Mean 83.67
Std. Error of Mean 1.462
Median 84.00
Mode 80
Std. Deviation 4.387
Variance 19.250
Skewness .219
Std. Error of Skewness .717
Kurtosis -1.595
Std. Error of Kurtosis 1.400
Range 12
Minimum 78
Maximum 90
Sum 753
Percentiles
10 78.00
20 80.00
25 80.00
30 80.00
40 80.00
50 84.00
60 85.00
70 87.00
75 88.00
80 89.00
90 90.00
One-Sample Kolmogorov-Smirnov Test
KFC
N 9
Normal Parametersa Mean 83.67
Std. Deviation 4.387
Most Extreme Differences
Absolute .243
Positive .243
Negative -.110
Kolmogorov-Smirnov Z .728
Asymp. Sig. (2-tailed) .664
a. Test distribution is Normal.
X1-Y
Statistics
J-CO KFC
N Valid 9 9
Missing 0 0
Mean 84.11 83.67
Std. Error of Mean 1.637 1.462
Median 81.00 84.00
Mode 80a 80
Std. Deviation 4.910 4.387
Variance 24.111 19.250
Skewness .248 .219
Std. Error of Skewness .717 .717
Kurtosis -2.475 -1.595
Std. Error of Kurtosis 1.400 1.400
Range 11 12
Minimum 79 78
Maximum 90 90
Sum 757 753
Percentiles
10 79.00 78.00
20 80.00 80.00
25 80.00 80.00
30 80.00 80.00
40 80.00 80.00
50 81.00 84.00
60 89.00 85.00
70 89.00 87.00
75 89.00 88.00
80 89.00 89.00
90 90.00 90.00
a. Multiple modes exist. The smallest value is shown
Correlations
J-CO KFC
J-CO Pearson Correlation 1 .188
Sig. (2-tailed) .629
Sum of Squares and Cross-products
192.889 32.333
Covariance 24.111 4.042
N 9 9
KFC Pearson Correlation .188 1
Sig. (2-tailed) .629
Sum of Squares and Cross-products
32.333 154.000
Covariance 4.042 19.250
N 9 9
Reliability Statistics
Cronbach'sAlpha
N ofItems
.314 2
Model Summaryb
Model R R SquareAdjusted R
Square
Std. Errorof theEstimate
Durbin-Watson
1 .188a .035 -.103 4.607 2.221
a. Predictors: (Constant), J-CO
b. Dependent Variable: KFC
ANOVAb
ModelSum ofSquares df Mean Square F Sig.
1 Regression 5.420 1 5.420 .255 .629a
Residual 148.580 7 21.226
Total 154.000 8
a. Predictors: (Constant), J-CO
b. Dependent Variable: KFC
Coefficientsa
Model
UnstandardizedCoefficients
StandardizedCoefficients
t Sig.
CollinearityStatistics
B Std. Error Beta Tolerance VIF
1 (Constant) 69.567 27.944 2.490 .042
J-CO .168 .332 .188 .505 .629 1.000 1.000
a. Dependent Variable: KFC
One-Sample Kolmogorov-Smirnov Test
J-CO KFC
N 9 9
Normal Parametersa Mean 84.11 83.67
Std. Deviation 4.910 4.387
Most Extreme Differences
Absolute .292 .243
Positive .292 .243
Negative -.285 -.110
Kolmogorov-Smirnov Z .877 .728
Asymp. Sig. (2-tailed) .425 .664
a. Test distribution is Normal.
X2-Y
StatisticsMCDONALD KFC
N Valid 9 9Missing 0 0
Mean 80.67 83.67Std. Error of Mean 1.067 1.462Median 80.00 84.00Mode 80 80Std. Deviation 3.202 4.387Variance 10.250 19.250Skewness .242 .219Std. Error of Skewness .717 .717Kurtosis 1.022 -1.595Std. Error of Kurtosis 1.400 1.400Range 11 12Minimum 75 78Maximum 86 90Sum 726 753Percentiles
10 75.00 78.0020 80.00 80.0025 80.00 80.0030 80.00 80.0040 80.00 80.0050 80.00 84.0060 80.00 85.0070 80.00 87.0075 82.50 88.0080 85.00 89.0090 86.00 90.00
Correlations
MCDONALD KFC
MCDONALD Pearson Correlation 1 .338
Sig. (2-tailed) .373
Sum of Squares and Cross-products
82.000 38.000
Covariance 10.250 4.750
N 9 9
KFC Pearson Correlation .338 1
Sig. (2-tailed) .373
Sum of Squares and Cross-products
38.000 154.000
Covariance 4.750 19.250
N 9 9
Model Summaryb
Model R R SquareAdjusted RSquare
Std. Error ofthe Estimate Durbin-Watson
1 .338a .114 -.012 4.414 2.707
a. Predictors: (Constant), MCDONALD
b. Dependent Variable: KFC
ANOVAb
ModelSum ofSquares df Mean Square F Sig.
1 Regression 17.610 1 17.610 .904 .373a
Residual 136.390 7 19.484
Total 154.000 8
a. Predictors: (Constant), MCDONALD
b. Dependent Variable: KFC
Coefficientsa
Model
UnstandardizedCoefficients
StandardizedCoefficients
t Sig.
CollinearityStatistics
B Std. Error Beta Tolerance VIF
1 (Constant) 46.285 39.349 1.176 .278
MCDONALD .463 .487 .338 .951 .373 1.000 1.000
a. Dependent Variable: KFC
Reliability Statistics
Cronbach'sAlpha
N ofItems
.487 2
X3-Y
Statistics
PIZZA HUT KFCN Valid 9 9
Missing 0 0Mean 87.22 83.67Std. Error of Mean 1.103 1.462Median 89.00 84.00Mode 89 80Std. Deviation 3.308 4.387Variance 10.944 19.250Skewness -1.502 .219Std. Error of Skewness .717 .717Kurtosis 1.956 -1.595Std. Error of Kurtosis 1.400 1.400Range 10 12Minimum 80 78Maximum 90 90Sum 785 753Percentiles
10 80.00 78.0020 85.00 80.0025 85.00 80.0030 85.00 80.0040 88.00 80.0050 89.00 84.0060 89.00 85.0070 89.00 87.0075 89.50 88.0080 90.00 89.0090 90.00 90.00
Correlations
PIZZA HUT KFCPIZZA HUT Pearson Correlation 1 .445
Sig. (2-tailed) .230
Sum of Squares and Cross-products 87.556 51.667
Covariance 10.944 6.458N 9 9
KFC Pearson Correlation .445 1Sig. (2-tailed) .230
Sum of Squares and Cross-products 51.667 154.000
Covariance 6.458 19.250N 9 9
Model Summaryb
Model R R SquareAdjusted R
Square
Std. Errorof theEstimate
Durbin-Watson
1 .445a .198 .083 4.201 1.919
a. Predictors: (Constant), PIZZA HUT
b. Dependent Variable: KFC
ANOVAb
ModelSum ofSquares df Mean Square F Sig.
1 Regression 30.489 1 30.489 1.728 .230a
Residual 123.511 7 17.644
Total 154.000 8
a. Predictors: (Constant), PIZZA HUT
b. Dependent Variable: KFC
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t Sig.
Collinearity Statistics
BStd. Error Beta
Tolerance VIF
1 (Constant) 32.197 39.180 .822 .438
PIZZA HUT .590 .449 .445 1.315 .230 1.000 1.000
a. Dependent Variable: KFC
Reliability Statistics
Cronbach'sAlpha
N ofItems
.599 2
One-Sample Kolmogorov-Smirnov Test
PIZZA HUT KFC
N 9 9
Normal Parametersa Mean 87.22 83.67
Std. Deviation 3.308 4.387
Most Extreme Differences
Absolute .260 .243
Positive .201 .243
Negative -.260 -.110
Kolmogorov-Smirnov Z .780 .728
Asymp. Sig. (2-tailed) .577 .664
a. Test distribution is Normal.
X4-Y
StatisticsDUNKIN DONUTS KFC
N Valid 9 9Missing 0 0
Mean 77.56 83.67Std. Error of Mean 1.435 1.462Median 77.00 84.00Mode 75 80Std. Deviation 4.304 4.387Variance 18.528 19.250Skewness .005 .219Std. Error of Skewness .717 .717Kurtosis .580 -1.595Std. Error of Kurtosis 1.400 1.400Range 15 12Minimum 70 78Maximum 85 90Sum 698 753Percentiles
10 70.00 78.0020 75.00 80.0025 75.00 80.0030 75.00 80.0040 76.00 80.0050 77.00 84.0060 79.00 85.0070 80.00 87.0075 80.50 88.0080 81.00 89.0090 85.00 90.00
Correlations
DUNKINDONUTS KFC
DUNKIN DONUTS Pearson Correlation 1 .435
Sig. (2-tailed) .242
Sum of Squares and Cross-products
148.222 65.667
Covariance 18.528 8.208
N 9 9
KFC Pearson Correlation .435 1
Sig. (2-tailed) .242
Sum of Squares and Cross-products
65.667 154.000
Covariance 8.208 19.250
N 9 9
Model Summaryb
Model R R SquareAdjusted R
Square
Std. Errorof theEstimate
Durbin-Watson
1 .435a .189 .073 4.224 1.942
a. Predictors: (Constant), DUNKIN DONUTS
b. Dependent Variable: KFC
ANOVAb
ModelSum ofSquares df Mean Square F Sig.
1 Regression 29.092 1 29.092 1.630 .242a
Residual 124.908 7 17.844
Total 154.000 8
a. Predictors: (Constant), DUNKIN DONUTS
b. Dependent Variable: KFC
Coefficientsa
Model
UnstandardizedCoefficients
StandardizedCoefficients
t Sig.
CollinearityStatistics
B Std. Error Beta Tolerance VIF
1 (Constant) 49.307 26.946 1.830 .110
DUNKIN DONUTS .443 .347 .435 1.277 .242 1.000 1.000
a. Dependent Variable: KFC
Reliability Statistics
Cronbach'sAlpha
N ofItems
.606 2
One-Sample Kolmogorov-Smirnov Test
DUNKINDONUTS KFC
N 9 9
Normal Parametersa Mean 77.56 83.67
Std. Deviation 4.304 4.387
Most Extreme Differences
Absolute .165 .243
Positive .107 .243
Negative -.165 -.110
Kolmogorov-Smirnov Z .496 .728
Asymp. Sig. (2-tailed) .967 .664
a. Test distribution is Normal.
X5-Y
Statistics
AW KFC
N Valid 9 9
Missing 0 0
Mean 73.67 83.67
Std. Error of Mean 1.258 1.462
Median 74.00a 84.00a
Mode 70 80
Std. Deviation 3.775 4.387
Variance 14.250 19.250
Skewness .225 .219
Std. Error of Skewness .717 .717
Kurtosis -1.918 -1.595
Std. Error of Kurtosis 1.400 1.400
Range 9 12
Minimum 70 78
Maximum 79 90
Sum 663 753
Percentiles
10 .b,c 78.40c
20 . 79.30
25 70.40 79.75
30 71.12 80.40
40 72.56 82.20
50 74.00 84.00
60 74.90 84.90
70 76.60 86.60
75 77.25 87.50
80 77.70 88.40
90 78.60 89.60
a. Calculated from grouped data.
b. The lower bound of the first interval or the upper bound of the last interval is not known. Some percentiles are undefined.
c. Percentiles are calculated from grouped data.
Correlations
AW KFC
AW Pearson Correlation 1 .257
Sig. (2-tailed) .505
Sum of Squares and Cross-products
114.000 34.000
Covariance 14.250 4.250
N 9 9
KFC Pearson Correlation .257 1
Sig. (2-tailed) .505
Sum of Squares and Cross-products
34.000 154.000
Covariance 4.250 19.250
N 9 9
Model Summaryb
Model R R SquareAdjusted R
Square
Std. Errorof theEstimate
Durbin-Watson
1 .257a .066 -.068 4.533 2.164
a. Predictors: (Constant), AW
b. Dependent Variable: KFC
ANOVAb
ModelSum ofSquares df Mean Square F Sig.
1 Regression 10.140 1 10.140 .493 .505a
Residual 143.860 7 20.551
Total 154.000 8
a. Predictors: (Constant), AW
b. Dependent Variable: KFC
Coefficientsa
Model
UnstandardizedCoefficients
StandardizedCoefficients
t Sig.
CollinearityStatistics
B Std. Error Beta Tolerance VIF
1 (Constant) 61.696 31.314 1.970 .089
AW .298 .425 .257 .702 .505 1.000 1.000
a. Dependent Variable: KFC
Reliability Statistics
Cronbach'sAlpha
N ofItems
.405 2
One-Sample Kolmogorov-Smirnov Test
AW KFC
N 9 9
Normal Parametersa Mean 73.67 83.67
Std. Deviation 3.775 4.387
Most Extreme Differences
Absolute .279 .243
Positive .279 .243
Negative -.166 -.110
Kolmogorov-Smirnov Z .836 .728
Asymp. Sig. (2-tailed) .486 .664
a. Test distribution is Normal.
X1-X2
StatisticsJ-CO MCDONALD
N Valid 9 9
Missing 0 0
Mean 84.11 80.67
Std. Error of Mean 1.637 1.067
Median 81.00a 80.71a
Mode 80b 80
Std. Deviation 4.910 3.202
Variance 24.111 10.250
Skewness .248 .242
Std. Error of Skewness .717 .717
Kurtosis -2.475 1.022
Std. Error of Kurtosis 1.400 1.400
Range 11 11
Minimum 79 75
Maximum 90 86
Sum 757 726
Percentiles
10 79.20c 75.57c
20 79.65 76.86
25 79.88 77.50
30 80.10 78.14
40 80.55 79.43
50 81.00 80.71
60 84.60 82.00
70 88.20 83.29
75 89.12 83.93
80 89.35 84.57
90 89.80 85.60
a. Calculated from grouped data.
b. Multiple modes exist. The smallest value is shown
c. Percentiles are calculated from grouped data.
Correlations
J-CO MCDONALD
J-CO Pearson Correlation 1 .201
Sig. (2-tailed) .603
Sum of Squares and Cross-products
192.889 25.333
Covariance 24.111 3.167
N 9 9
MCDONALD Pearson Correlation .201 1
Sig. (2-tailed) .603
Sum of Squares and Cross-products
25.333 82.000
Covariance 3.167 10.250
N 9 9
Model Summaryb
Model R R SquareAdjusted R
Square
Std. Errorof theEstimate
Durbin-Watson
1 .201a .041 -.096 5.142 1.899
a. Predictors: (Constant), MCDONALD
b. Dependent Variable: J-CO
ANOVAb
ModelSum ofSquares df Mean Square F Sig.
1 Regression 7.827 1 7.827 .296 .603a
Residual 185.062 7 26.437
Total 192.889 8
a. Predictors: (Constant), MCDONALD
b. Dependent Variable: J-CO
Coefficientsa
Model
UnstandardizedCoefficients
StandardizedCoefficients
t Sig.
CollinearityStatistics
B Std. Error Beta Tolerance VIF
1 (Constant) 59.190 45.835 1.291 .238
MCDONALD .309 .568 .201 .544 .603 1.000 1.000
a. Dependent Variable: J-CO
Reliability Statistics
Cronbach'sAlpha
N ofItems
.311 2
One-Sample Kolmogorov-Smirnov Test
J-CO MCDONALD
N 9 9
Normal Parametersa Mean 84.11 80.67
Std. Deviation 4.910 3.202
Most Extreme Differences
Absolute .292 .360
Positive .292 .360
Negative -.285 -.306
Kolmogorov-Smirnov Z .877 1.081
Asymp. Sig. (2-tailed) .425 .193
a. Test distribution is Normal.
X1-X3
StatisticsJ-CO PIZZA HUT
N Valid 9 9
Missing 0 0
Mean 84.11 87.22
Std. Error of Mean 1.637 1.103
Median 81.00a 88.50a
Mode 80b 89
Std. Deviation 4.910 3.308
Variance 24.111 10.944
Skewness .248 -1.502
Std. Error of Skewness .717 .717
Kurtosis -2.475 1.956
Std. Error of Kurtosis 1.400 1.400
Range 11 10
Minimum 79 80
Maximum 90 90
Sum 757 785
Percentiles
10 79.20c 81.33c
20 79.65 84.33
25 79.88 85.50
30 80.10 86.40
40 80.55 88.05
50 81.00 88.50
60 84.60 88.95
70 88.20 89.32
75 89.12 89.50
80 89.35 89.68
90 89.80 .
a. Calculated from grouped data.
b. Multiple modes exist. The smallest value is shown
c. Percentiles are calculated from grouped data.
Correlations
J-CO PIZZA HUT
J-CO Pearson Correlation 1 .498
Sig. (2-tailed) .172
Sum of Squares and Cross-products
192.889 64.778
Covariance 24.111 8.097
N 9 9
PIZZA HUT Pearson Correlation .498 1
Sig. (2-tailed) .172
Sum of Squares and Cross-products
64.778 87.556
Covariance 8.097 10.944
N 9 9
Model Summaryb
Model R R SquareAdjusted R
Square
Std. Errorof theEstimate
Durbin-Watson
1 .498a .248 .141 4.551 1.762
a. Predictors: (Constant), PIZZA HUT
b. Dependent Variable: J-CO
ANOVAb
ModelSum ofSquares df Mean Square F Sig.
1 Regression 47.926 1 47.926 2.314 .172a
Residual 144.963 7 20.709
Total 192.889 8
a. Predictors: (Constant), PIZZA HUT
b. Dependent Variable: J-CO
Coefficientsa
Model
UnstandardizedCoefficients
StandardizedCoefficients
t Sig.
CollinearityStatistics
B Std. Error Beta Tolerance VIF
1 (Constant) 19.580 42.447 .461 .659
PIZZA HUT .740 .486 .498 1.521 .172 1.000 1.000
a. Dependent Variable: J-CO
Reliability Statistics
Cronbach'sAlpha
N ofItems
.632 2
One-Sample Kolmogorov-Smirnov Test
J-CO PIZZA HUT
N 9 9
Normal Parametersa Mean 84.11 87.22
Std. Deviation 4.910 3.308
Most Extreme Differences
Absolute .292 .260
Positive .292 .201
Negative -.285 -.260
Kolmogorov-Smirnov Z .877 .780
Asymp. Sig. (2-tailed) .425 .577
a. Test distribution is Normal.
X1-X4
Statistics
J-CODUNKINDONUTS
N Valid 9 9
Missing 0 0
Mean 84.11 77.56
Std. Error of Mean 1.637 1.435
Median 81.00a 77.00a
Mode 80b 75
Std. Deviation 4.910 4.304
Variance 24.111 18.528
Skewness .248 .005
Std. Error of Skewness .717 .717
Kurtosis -2.475 .580
Std. Error of Kurtosis 1.400 1.400
Range 11 15
Minimum 79 70
Maximum 90 85
Sum 757 698
Percentiles
10 79.20c 71.33c
20 79.65 74.33
25 79.88 75.17
30 80.10 75.47
40 80.55 76.10
50 81.00 77.00
60 84.60 78.80
70 88.20 79.80
75 89.12 80.25
80 89.35 80.70
90 89.80 83.40
a. Calculated from grouped data.
b. Multiple modes exist. The smallest value is shown
Correlations
J-CODUNKINDONUTS
J-CO Pearson Correlation 1 .553
Sig. (2-tailed) .123
Sum of Squares and Cross-products
192.889 93.444
Covariance 24.111 11.681
N 9 9
DUNKIN DONUTS Pearson Correlation .553 1
Sig. (2-tailed) .123
Sum of Squares and Cross-products
93.444 148.222
Covariance 11.681 18.528
N 9 9
Model Summaryb
Model R R SquareAdjusted R
Square
Std. Errorof theEstimate
Durbin-Watson
1 .553a .305 .206 4.375 1.748
a. Predictors: (Constant), DUNKIN DONUTS
b. Dependent Variable: J-CO
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 58.911 1 58.911 3.078 .123a
Residual 133.978 7 19.140
Total 192.889 8
a. Predictors: (Constant), DUNKIN DONUTS
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 58.911 1 58.911 3.078 .123a
Residual 133.978 7 19.140
Total 192.889 8
b. Dependent Variable: J-CO
Coefficientsa
Model
UnstandardizedCoefficients
StandardizedCoefficients
t Sig.
CollinearityStatistics
B Std. Error Beta Tolerance VIF
1 (Constant) 35.217 27.907 1.262 .247
DUNKIN DONUTS .630 .359 .553 1.754 .123 1.000 1.000
a. Dependent Variable: J-CO
Reliability Statistics
Cronbach'sAlpha
N ofItems
.708 2
One-Sample Kolmogorov-Smirnov Test
J-CODUNKINDONUTS
N 9 9
Normal Parametersa Mean 84.11 77.56
Std. Deviation 4.910 4.304
Most Extreme Differences
Absolute .292 .165
Positive .292 .107
Negative -.285 -.165
Kolmogorov-Smirnov Z .877 .496
Asymp. Sig. (2-tailed) .425 .967
a. Test distribution is Normal.
X1-X5
Statistics
J-CO AW
N Valid 9 9
Missing 0 0
Mean 84.11 73.67
Std. Error of Mean 1.637 1.258
Median 81.00a 74.00a
Mode 80b 70
Std. Deviation 4.910 3.775
Variance 24.111 14.250
Skewness .248 .225
Std. Error of Skewness .717 .717
Kurtosis -2.475 -1.918
Std. Error of Kurtosis 1.400 1.400
Range 11 9
Minimum 79 70
Maximum 90 79
Sum 757 663
Percentiles
10 79.20c .c,d
20 79.65 .
25 79.88 70.40
30 80.10 71.12
40 80.55 72.56
50 81.00 74.00
60 84.60 74.90
70 88.20 76.60
75 89.12 77.25
80 89.35 77.70
90 89.80 78.60
a. Calculated from grouped data.
b. Multiple modes exist. The smallest value is shown
c. Percentiles are calculated from grouped data.
d. The lower bound of the first interval or the upper bound of the last interval is not known. Some percentiles are undefined.
Correlations
J-CO AW
J-CO Pearson Correlation 1 .353
Sig. (2-tailed) .352
Sum of Squares and Cross-products
192.889 52.333
Covariance 24.111 6.542
N 9 9
AW Pearson Correlation .353 1
Sig. (2-tailed) .352
Sum of Squares and Cross-products
52.333 114.000
Covariance 6.542 14.250
N 9 9
Model Summaryb
Model R R SquareAdjusted R
Square
Std. Errorof theEstimate
Durbin-Watson
1 .353a .125 .000 4.912 1.304
a. Predictors: (Constant), AW
b. Dependent Variable: J-CO
ANOVAb
ModelSum ofSquares df Mean Square F Sig.
1 Regression 24.024 1 24.024 .996 .352a
Residual 168.865 7 24.124
Total 192.889 8
a. Predictors: (Constant), AW
b. Dependent Variable: J-CO
Coefficientsa
Model
UnstandardizedCoefficients
StandardizedCoefficients
t Sig.
CollinearityStatistics
B Std. Error Beta Tolerance VIF
1 (Constant) 50.293 33.927 1.482 .182
AW .459 .460 .353 .998 .352 1.000 1.000
a. Dependent Variable: J-CO
Reliability Statistics
Cronbach'sAlpha
N ofItems
.509 2
One-Sample Kolmogorov-Smirnov Test
J-CO AW
N 9 9
Normal Parametersa Mean 84.11 73.67
Std. Deviation 4.910 3.775
Most Extreme Differences
Absolute .292 .279
Positive .292 .279
Negative -.285 -.166
Kolmogorov-Smirnov Z .877 .836
Asymp. Sig. (2-tailed) .425 .486
a. Test distribution is Normal.
X2-X3
Statistics
MCDONALD PIZZA HUT
N Valid 9 9
Missing 0 0
Mean 80.67 87.22
Std. Error of Mean 1.067 1.103
Median 80.71a 88.50a
Mode 80 89
Std. Deviation 3.202 3.308
Variance 10.250 10.944
Skewness .242 -1.502
Std. Error of Skewness .717 .717
Kurtosis 1.022 1.956
Std. Error of Kurtosis 1.400 1.400
Range 11 10
Minimum 75 80
Maximum 86 90
Sum 726 785
Percentiles
10 75.57b 81.33b
20 76.86 84.33
25 77.50 85.50
30 78.14 86.40
40 79.43 88.05
50 80.71 88.50
60 82.00 88.95
70 83.29 89.32
75 83.93 89.50
80 84.57 89.68
90 85.60 .
a. Calculated from grouped data.
Statistics
MCDONALD PIZZA HUT
N Valid 9 9
Missing 0 0
Mean 80.67 87.22
Std. Error of Mean 1.067 1.103
Median 80.71a 88.50a
Mode 80 89
Std. Deviation 3.202 3.308
Variance 10.250 10.944
Skewness .242 -1.502
Std. Error of Skewness .717 .717
Kurtosis 1.022 1.956
Std. Error of Kurtosis 1.400 1.400
Range 11 10
Minimum 75 80
Maximum 86 90
Sum 726 785
Percentiles
10 75.57b 81.33b
20 76.86 84.33
25 77.50 85.50
30 78.14 86.40
40 79.43 88.05
50 80.71 88.50
60 82.00 88.95
70 83.29 89.32
75 83.93 89.50
80 84.57 89.68
90 85.60 .
b. Percentiles are calculated from groupeddata.
Correlations
MCDONALD PIZZA HUT
MCDONALD Pearson Correlation 1 .185
Sig. (2-tailed) .634
Sum of Squares and Cross-products
82.000 15.667
Covariance 10.250 1.958
N 9 9
PIZZA HUT Pearson Correlation .185 1
Sig. (2-tailed) .634
Sum of Squares and Cross-products
15.667 87.556
Covariance 1.958 10.944
N 9 9
Model Summaryb
Model R R SquareAdjusted R
Square
Std. Errorof theEstimate
Durbin-Watson
1 .185a .034 -.104 3.364 2.140
a. Predictors: (Constant), PIZZA HUT
b. Dependent Variable: MCDONALD
ANOVAb
ModelSum ofSquares df Mean Square F Sig.
1 Regression 2.803 1 2.803 .248 .634a
Residual 79.197 7 11.314
Total 82.000 8
a. Predictors: (Constant), PIZZA HUT
ANOVAb
ModelSum ofSquares df Mean Square F Sig.
1 Regression 2.803 1 2.803 .248 .634a
Residual 79.197 7 11.314
Total 82.000 8
b. Dependent Variable: MCDONALD
Coefficientsa
Model
UnstandardizedCoefficients
StandardizedCoefficients
t Sig.
CollinearityStatistics
B Std. Error Beta Tolerance VIF
1 (Constant) 65.060 31.374 2.074 .077
PIZZA HUT .179 .359 .185 .498 .634 1.000 1.000
a. Dependent Variable: MCDONALD
Reliability Statistics
Cronbach'sAlpha
N ofItems
.312 2
One-Sample Kolmogorov-Smirnov Test
MCDONALD PIZZA HUT
N 9 9
Normal Parametersa Mean 80.67 87.22
Std. Deviation 3.202 3.308
Most Extreme Differences
Absolute .360 .260
Positive .360 .201
Negative -.306 -.260
Kolmogorov-Smirnov Z 1.081 .780
Asymp. Sig. (2-tailed) .193 .577
a. Test distribution is Normal.
X2-X4
Statistics
MCDONALD DUNKIN DONUTS
N Valid 9 9
Missing 0 0
Mean 80.67 77.56
Std. Error of Mean 1.067 1.435
Median 80.71a 77.00a
Mode 80 75
Std. Deviation 3.202 4.304
Variance 10.250 18.528
Skewness .242 .005
Std. Error of Skewness .717 .717
Kurtosis 1.022 .580
Std. Error of Kurtosis 1.400 1.400
Range 11 15
Minimum 75 70
Maximum 86 85
Sum 726 698
Percentiles 10 75.57b 71.33b
20 76.86 74.33
25 77.50 75.17
30 78.14 75.47
40 79.43 76.10
50 80.71 77.00
60 82.00 78.80
70 83.29 79.80
75 83.93 80.25
80 84.57 80.70
90 85.60 83.40
a. Calculated from grouped data.
Statistics
MCDONALD DUNKIN DONUTS
N Valid 9 9
Missing 0 0
Mean 80.67 77.56
Std. Error of Mean 1.067 1.435
Median 80.71a 77.00a
Mode 80 75
Std. Deviation 3.202 4.304
Variance 10.250 18.528
Skewness .242 .005
Std. Error of Skewness .717 .717
Kurtosis 1.022 .580
Std. Error of Kurtosis 1.400 1.400
Range 11 15
Minimum 75 70
Maximum 86 85
Sum 726 698
Percentiles 10 75.57b 71.33b
20 76.86 74.33
25 77.50 75.17
30 78.14 75.47
40 79.43 76.10
50 80.71 77.00
60 82.00 78.80
70 83.29 79.80
75 83.93 80.25
80 84.57 80.70
90 85.60 83.40
b. Percentiles are calculated from grouped data.
Correlations
MCDONALDDUNKINDONUTS
MCDONALD Pearson Correlation 1 .006
Sig. (2-tailed) .988
Sum of Squares and Cross-products
82.000 .667
Covariance 10.250 .083
N 9 9
DUNKIN DONUTS Pearson Correlation .006 1
Sig. (2-tailed) .988
Sum of Squares and Cross-products
.667 148.222
Covariance .083 18.528
N 9 9
Model Summaryb
Model R R SquareAdjusted R
Square
Std. Errorof theEstimate
Durbin-Watson
1 .006a .000 -.143 3.423 2.105
a. Predictors: (Constant), DUNKIN DONUTS
b. Dependent Variable: MCDONALD
ANOVAb
ModelSum ofSquares df Mean Square F Sig.
1 Regression .003 1 .003 .000 .988a
Residual 81.997 7 11.714
Total 82.000 8
a. Predictors: (Constant), DUNKIN DONUTS
b. Dependent Variable: MCDONALD
Coefficientsa
Model
UnstandardizedCoefficients
StandardizedCoefficients
t Sig.
CollinearityStatistics
B Std. Error Beta Tolerance VIF
1 (Constant) 80.318 21.832 3.679 .008
DUNKIN DONUTS .004 .281 .006 .016 .988 1.000 1.000
a. Dependent Variable: MCDONALD
Reliability Statistics
Cronbach'sAlpha
N ofItems
.012 2
One-Sample Kolmogorov-Smirnov Test
MCDONALDDUNKINDONUTS
N 9 9
Normal Parametersa Mean 80.67 77.56
Std. Deviation 3.202 4.304
Most Extreme Differences
Absolute .360 .165
Positive .360 .107
Negative -.306 -.165
Kolmogorov-Smirnov Z 1.081 .496
Asymp. Sig. (2-tailed) .193 .967
a. Test distribution is Normal.
X2-X4
Statistics
MCDONALDDUNKINDONUTS
N Valid 9 9
Missing 0 0
Mean 80.67 77.56
Std. Error of Mean 1.067 1.435
Median 80.71a 77.00a
Mode 80 75
Std. Deviation 3.202 4.304
Variance 10.250 18.528
Skewness .242 .005
Std. Error of Skewness .717 .717
Kurtosis 1.022 .580
Std. Error of Kurtosis 1.400 1.400
Range 11 15
Minimum 75 70
Maximum 86 85
Sum 726 698
Percentiles
10 75.57b 71.33b
20 76.86 74.33
25 77.50 75.17
30 78.14 75.47
40 79.43 76.10
50 80.71 77.00
60 82.00 78.80
70 83.29 79.80
75 83.93 80.25
80 84.57 80.70
90 85.60 83.40
a. Calculated from grouped data.
Statistics
MCDONALDDUNKINDONUTS
N Valid 9 9
Missing 0 0
Mean 80.67 77.56
Std. Error of Mean 1.067 1.435
Median 80.71a 77.00a
Mode 80 75
Std. Deviation 3.202 4.304
Variance 10.250 18.528
Skewness .242 .005
Std. Error of Skewness .717 .717
Kurtosis 1.022 .580
Std. Error of Kurtosis 1.400 1.400
Range 11 15
Minimum 75 70
Maximum 86 85
Sum 726 698
Percentiles
10 75.57b 71.33b
20 76.86 74.33
25 77.50 75.17
30 78.14 75.47
40 79.43 76.10
50 80.71 77.00
60 82.00 78.80
70 83.29 79.80
75 83.93 80.25
80 84.57 80.70
90 85.60 83.40
b. Percentiles are calculated from groupeddata.
Correlations
MCDONALDDUNKINDONUTS
MCDONALD Pearson Correlation 1 .006
Sig. (2-tailed) .988
Sum of Squares and Cross-products
82.000 .667
Covariance 10.250 .083
N 9 9
DUNKIN DONUTS Pearson Correlation .006 1
Sig. (2-tailed) .988
Sum of Squares and Cross-products
.667 148.222
Covariance .083 18.528
N 9 9
Model Summaryb
Model R R SquareAdjusted R
Square
Std. Errorof theEstimate
Durbin-Watson
1 .006a .000 -.143 3.423 2.105
a. Predictors: (Constant), DUNKIN DONUTS
b. Dependent Variable: MCDONALD
ANOVAb
ModelSum ofSquares df Mean Square F Sig.
1 Regression .003 1 .003 .000 .988a
Residual 81.997 7 11.714
Total 82.000 8
a. Predictors: (Constant), DUNKIN DONUTS
b. Dependent Variable: MCDONALD
Coefficientsa
Model
UnstandardizedCoefficients
StandardizedCoefficients
t Sig.
CollinearityStatistics
B Std. Error Beta Tolerance VIF
1 (Constant) 80.318 21.832 3.679 .008
DUNKIN DONUTS .004 .281 .006 .016 .988 1.000 1.000
a. Dependent Variable: MCDONALD
Reliability Statistics
Cronbach'sAlpha
N ofItems
.012 2
One-Sample Kolmogorov-Smirnov Test
MCDONALDDUNKINDONUTS
N 9 9
Normal Parametersa Mean 80.67 77.56
Std. Deviation 3.202 4.304
Most Extreme Differences
Absolute .360 .165
Positive .360 .107
Negative -.306 -.165
Kolmogorov-Smirnov Z 1.081 .496
Asymp. Sig. (2-tailed) .193 .967
a. Test distribution is Normal.
X2-X5
Statistics
MCDONALD AW
N Valid 9 9
Missing 0 0
Mean 80.67 73.67
Std. Error of Mean 1.067 1.258
Median 80.71a 74.00a
Mode 80 70
Std. Deviation 3.202 3.775
Variance 10.250 14.250
Skewness .242 .225
Std. Error of Skewness .717 .717
Kurtosis 1.022 -1.918
Std. Error of Kurtosis 1.400 1.400
Range 11 9
Minimum 75 70
Maximum 86 79
Sum 726 663
Percentiles
10 75.57b .b,c
20 76.86 .
25 77.50 70.40
30 78.14 71.12
40 79.43 72.56
50 80.71 74.00
60 82.00 74.90
70 83.29 76.60
75 83.93 77.25
80 84.57 77.70
90 85.60 78.60
a. Calculated from grouped data.
b. Percentiles are calculated from groupeddata.
Statistics
MCDONALD AW
N Valid 9 9
Missing 0 0
Mean 80.67 73.67
Std. Error of Mean 1.067 1.258
Median 80.71a 74.00a
Mode 80 70
Std. Deviation 3.202 3.775
Variance 10.250 14.250
Skewness .242 .225
Std. Error of Skewness .717 .717
Kurtosis 1.022 -1.918
Std. Error of Kurtosis 1.400 1.400
Range 11 9
Minimum 75 70
Maximum 86 79
Sum 726 663
Percentiles
10 75.57b .b,c
20 76.86 .
25 77.50 70.40
30 78.14 71.12
40 79.43 72.56
50 80.71 74.00
60 82.00 74.90
70 83.29 76.60
75 83.93 77.25
80 84.57 77.70
90 85.60 78.60
a. Calculated from grouped data.
c. The lower bound of the first interval or the upper bound of the last interval is not known. Some percentiles are undefined.
Correlations
MCDONALD AW
MCDONALD Pearson Correlation 1 -.641
Sig. (2-tailed) .063
Sum of Squares and Cross-products
82.000 -62.000
Covariance 10.250 -7.750
N 9 9
AW Pearson Correlation -.641 1
Sig. (2-tailed) .063
Sum of Squares and Cross-products
-62.000 114.000
Covariance -7.750 14.250
N 9 9
Model Summaryb
Model R R SquareAdjusted R
Square
Std. Errorof theEstimate
Durbin-Watson
1 .641a .411 .327 2.626 2.088
a. Predictors: (Constant), AW
b. Dependent Variable: MCDONALD
ANOVAb
ModelSum ofSquares df Mean Square F Sig.
1 Regression 33.719 1 33.719 4.889 .063a
Residual 48.281 7 6.897
Total 82.000 8
a. Predictors: (Constant), AW
b. Dependent Variable: MCDONALD
Coefficientsa
Model
UnstandardizedCoefficients
StandardizedCoefficients
t Sig.
CollinearityStatistics
B Std. Error Beta Tolerance VIF
1 (Constant) 120.731 18.141 6.655 .000
AW -.544 .246 -.641 -2.211 .063 1.000 1.000
a. Dependent Variable: MCDONALD
Reliability Statistics
Cronbach'sAlphaa
N ofItems
-3.444 2
a. The value is negative due to a negative average covariance among items.This violates reliability model assumptions. You may want to check item codings.
One-Sample Kolmogorov-Smirnov Test
MCDONALD AW
N 9 9
Normal Parametersa Mean 80.67 73.67
Std. Deviation 3.202 3.775
Most Extreme Differences
Absolute .360 .279
Positive .360 .279
Negative -.306 -.166
Kolmogorov-Smirnov Z 1.081 .836
Asymp. Sig. (2-tailed) .193 .486
a. Test distribution is Normal.
X3-X4
Statistics
PIZZA HUTDUNKINDONUTS
N Valid 9 9
Missing 0 0
Mean 87.22 77.56
Std. Error of Mean 1.103 1.435
Median 88.50a 77.00a
Mode 89 75
Std. Deviation 3.308 4.304
Variance 10.944 18.528
Skewness -1.502 .005
Std. Error of Skewness .717 .717
Kurtosis 1.956 .580
Std. Error of Kurtosis 1.400 1.400
Range 10 15
Minimum 80 70
Maximum 90 85
Sum 785 698
Percentiles
10 81.33b 71.33b
20 84.33 74.33
25 85.50 75.17
30 86.40 75.47
40 88.05 76.10
50 88.50 77.00
60 88.95 78.80
70 89.32 79.80
75 89.50 80.25
80 89.68 80.70
90 . 83.40
a. Calculated from grouped data.
b. Percentiles are calculated from grouped data.
Correlations
PIZZA HUTDUNKINDONUTS
PIZZA HUT Pearson Correlation 1 .192
Sig. (2-tailed) .620
Sum of Squares and Cross-products
87.556 21.889
Covariance 10.944 2.736
N 9 9
DUNKIN DONUTS Pearson Correlation .192 1
Sig. (2-tailed) .620
Sum of Squares and Cross-products
21.889 148.222
Covariance 2.736 18.528
N 9 9
Model Summaryb
Model R R SquareAdjusted R
Square
Std. Errorof theEstimate
Durbin-Watson
1 .192a .037 -.101 3.471 1.585
a. Predictors: (Constant), DUNKIN DONUTS
b. Dependent Variable: PIZZA HUT
ANOVAb
ModelSum ofSquares df Mean Square F Sig.
1 Regression 3.232 1 3.232 .268 .620a
Residual 84.323 7 12.046
Total 87.556 8
a. Predictors: (Constant), DUNKIN DONUTS
b. Dependent Variable: PIZZA HUT
Coefficientsa
Model
UnstandardizedCoefficients
StandardizedCoefficients
t Sig.
CollinearityStatistics
B Std. Error Beta Tolerance VIF
1 (Constant) 75.769 22.140 3.422 .011
DUNKIN DONUTS .148 .285 .192 .518 .620 1.000 1.000
a. Dependent Variable: PIZZA HUT
Reliability Statistics
Cronbach'sAlpha
N ofItems
.313 2
One-Sample Kolmogorov-Smirnov Test
PIZZA HUTDUNKINDONUTS
N 9 9
Normal Parametersa Mean 87.22 77.56
Std. Deviation 3.308 4.304
Most Extreme Differences
Absolute .260 .165
Positive .201 .107
Negative -.260 -.165
Kolmogorov-Smirnov Z .780 .496
Asymp. Sig. (2-tailed) .577 .967
a. Test distribution is Normal.
X3-X5
Statistics
PIZZA HUT AW
N Valid 9 9
Missing 0 0
Mean 87.22 73.67
Std. Error of Mean 1.103 1.258
Median 88.50a 74.00a
Mode 89 70
Std. Deviation 3.308 3.775
Variance 10.944 14.250
Skewness -1.502 .225
Std. Error of Skewness .717 .717
Kurtosis 1.956 -1.918
Std. Error of Kurtosis 1.400 1.400
Range 10 9
Minimum 80 70
Maximum 90 79
Sum 785 663
Percentiles
10 81.33b .b,c
20 84.33 .
25 85.50 70.40
30 86.40 71.12
40 88.05 72.56
50 88.50 74.00
60 88.95 74.90
70 89.32 76.60
75 89.50 77.25
80 89.68 77.70
90 . 78.60
a. Calculated from grouped data.
b. Percentiles are calculated from grouped data.
c. The lower bound of the first interval or the upper bound of the last interval is not known.
Correlations
PIZZA HUT AW
PIZZA HUT Pearson Correlation 1 .417
Sig. (2-tailed) .264
Sum of Squares and Cross-products
87.556 41.667
Covariance 10.944 5.208
N 9 9
AW Pearson Correlation .417 1
Sig. (2-tailed) .264
Sum of Squares and Cross-products
41.667 114.000
Covariance 5.208 14.250
N 9 9
Model Summaryb
Model R R SquareAdjusted R
Square
Std. Errorof theEstimate
Durbin-Watson
1 .417a .174 .056 3.214 1.427
a. Predictors: (Constant), AW
b. Dependent Variable: PIZZA HUT
ANOVAb
ModelSum ofSquares df Mean Square F Sig.
1 Regression 15.229 1 15.229 1.474 .264a
Residual 72.327 7 10.332
Total 87.556 8
a. Predictors: (Constant), AW
b. Dependent Variable: PIZZA HUT
Coefficientsa
Model
UnstandardizedCoefficients
StandardizedCoefficients
t Sig.
CollinearityStatistics
B Std. Error Beta Tolerance VIF
1 (Constant) 60.297 22.204 2.716 .030
AW .365 .301 .417 1.214 .264 1.000 1.000
a. Dependent Variable: PIZZA HUT
Reliability Statistics
Cronbach'sAlpha
N ofItems
.585 2
One-Sample Kolmogorov-Smirnov Test
PIZZA HUT AW
N 9 9
Normal Parametersa Mean 87.22 73.67
Std. Deviation 3.308 3.775
Most Extreme Differences
Absolute .260 .279
Positive .201 .279
Negative -.260 -.166
Kolmogorov-Smirnov Z .780 .836
Asymp. Sig. (2-tailed) .577 .486
a. Test distribution is Normal.
X4-X5
Statistics
DUNKINDONUTS AW
N Valid 9 9
Missing 0 0
Mean 77.56 73.67
Std. Error of Mean 1.435 1.258
Median 77.00a 74.00a
Mode 75 70
Std. Deviation 4.304 3.775
Variance 18.528 14.250
Skewness .005 .225
Std. Error of Skewness .717 .717
Kurtosis .580 -1.918
Std. Error of Kurtosis 1.400 1.400
Range 15 9
Minimum 70 70
Maximum 85 79
Sum 698 663
Percentiles
10 71.33b .b,c
20 74.33 .
25 75.17 70.40
30 75.47 71.12
40 76.10 72.56
50 77.00 74.00
60 78.80 74.90
70 79.80 76.60
75 80.25 77.25
80 80.70 77.70
90 83.40 78.60
a. Calculated from grouped data.
b. Percentiles are calculated from grouped data.
Statistics
DUNKINDONUTS AW
N Valid 9 9
Missing 0 0
Mean 77.56 73.67
Std. Error of Mean 1.435 1.258
Median 77.00a 74.00a
Mode 75 70
Std. Deviation 4.304 3.775
Variance 18.528 14.250
Skewness .005 .225
Std. Error of Skewness .717 .717
Kurtosis .580 -1.918
Std. Error of Kurtosis 1.400 1.400
Range 15 9
Minimum 70 70
Maximum 85 79
Sum 698 663
Percentiles
10 71.33b .b,c
20 74.33 .
25 75.17 70.40
30 75.47 71.12
40 76.10 72.56
50 77.00 74.00
60 78.80 74.90
70 79.80 76.60
75 80.25 77.25
80 80.70 77.70
90 83.40 78.60
a. Calculated from grouped data.
c. The lower bound of the first interval or the upperbound of the last interval is not known. Some percentiles are undefined.
Correlations
DUNKINDONUTS AW
DUNKIN DONUTS Pearson Correlation 1 .351
Sig. (2-tailed) .354
Sum of Squares and Cross-products
148.222 45.667
Covariance 18.528 5.708
N 9 9
AW Pearson Correlation .351 1
Sig. (2-tailed) .354
Sum of Squares and Cross-products
45.667 114.000
Covariance 5.708 14.250
N 9 9
Model Summaryb
Model R R SquareAdjusted R
Square
Std. Errorof theEstimate
Durbin-Watson
1 .351a .123 -.002 4.308 1.796
a. Predictors: (Constant), AW
b. Dependent Variable: DUNKIN DONUTS
ANOVAb
ModelSum ofSquares df Mean Square F Sig.
1 Regression 18.293 1 18.293 .986 .354a
Residual 129.929 7 18.561
Total 148.222 8
a. Predictors: (Constant), AW
b. Dependent Variable: DUNKIN DONUTS
Coefficientsa
Model
UnstandardizedCoefficients
StandardizedCoefficients
t Sig.
CollinearityStatistics
B Std. Error Beta Tolerance VIF
1 (Constant) 48.046 29.760 1.614 .150
AW .401 .404 .351 .993 .354 1.000 1.000
a. Dependent Variable: DUNKIN DONUTS
Reliability Statistics
Cronbach'sAlpha
N ofItems
.517 2
One-Sample Kolmogorov-Smirnov Test
DUNKINDONUTS AW
N 9 9
Normal Parametersa Mean 77.56 73.67
Std. Deviation 4.304 3.775
Most Extreme Differences
Absolute .165 .279
Positive .107 .279
Negative -.165 -.166
Kolmogorov-Smirnov Z .496 .836
Asymp. Sig. (2-tailed) .967 .486
a. Test distribution is Normal.
