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12345678 8095758295 9088 86978591100909493 Student Quiz Grades Test Grades 1.Describe the...

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1 2 3 4 5 6 7 8 80 95 75 82 95 95 90 88 86 97 85 91 100 90 94 93 Student Quiz Grades Test Grades 1. Describe the association between Quiz Grades and Test Grades. 2. Write the equation of the line of regression. 3. Use this model to predict a test grade based on a quiz grade of 82. 4. What is the Residual for the quiz grade of 82? 5. Is this a good model? Quiz Grade Test Grade Quiz Grade Residuals Test Grade = 44.691 + 0.541(Quiz Grade) Test Grade = 44.691 + 0.541(Quiz Grade) = 44.691 + 0.541(82) = 44.691 + 0.541(82) 89.026 89.026 WARM – UP r = 0.815 r = 0.815 Resid=y – y Resid=y – y Resid=91-89.026 Resid=91-89.026 Resid=1.974 Resid=1.974
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Page 1: 12345678 8095758295 9088 86978591100909493 Student Quiz Grades Test Grades 1.Describe the association between Quiz Grades and Test Grades. 2.Write the.

1 2 3 4 5 6 7 8

80 95 75 82 95 95 90 88

86 97 85 91 100 90 94 93

Student

Quiz Grades

Test Grades

1. Describe the association between Quiz Grades and Test Grades.2. Write the equation of the line of regression.3. Use this model to predict a test grade based on a quiz grade of 82.4. What is the Residual for the quiz grade of 82?5. Is this a good model?

Quiz Grade

Tes

t G

rad

e

Quiz Grade

Res

idu

als

Test Grade = 44.691 + 0.541(Quiz Grade) Test Grade = 44.691 + 0.541(Quiz Grade) = 44.691 + 0.541(82) = 44.691 + 0.541(82) 89.02689.026

WARM – UP

r = 0.815r = 0.815

Resid=y – yResid=y – y

Resid=91-89.026Resid=91-89.026Resid=1.974Resid=1.974

Page 2: 12345678 8095758295 9088 86978591100909493 Student Quiz Grades Test Grades 1.Describe the association between Quiz Grades and Test Grades. 2.Write the.

H0: β1 = 0 A Linear Relationship

does NOT exist

Ha: β1 ≠ 0 A Linear Relationship

does exist

True Slope of the linear relationship.1

Page 3: 12345678 8095758295 9088 86978591100909493 Student Quiz Grades Test Grades 1.Describe the association between Quiz Grades and Test Grades. 2.Write the.

Regression Output Analysis

Page 4: 12345678 8095758295 9088 86978591100909493 Student Quiz Grades Test Grades 1.Describe the association between Quiz Grades and Test Grades. 2.Write the.

WARM – UPThe Statistics had an average of 81.2 with a standard deviation of 4.5. a.) What score represents the 90th percentiles?

b.) What is the probability that at least 3 out of 8 randomly selected students scored in the top 10%.

c.) Assuming a Normal Distribution, what is the probability that a random sample of 3 students will have a mean score of at least 85?

z = InvNorm(0.90) = zx 1.282

81.21.282

4.5x x = 86.969

( 3)P x 1 ( 2)P x 1 (8, , 2)Binomialcdf 0.10 = 0.0381

( 85)P x 85 81.2

( )4.5 / 3

P z

n

zx

( 1.463)P z

Prob. = Normalcdf(1.463,∞) = 0.0718

Page 5: 12345678 8095758295 9088 86978591100909493 Student Quiz Grades Test Grades 1.Describe the association between Quiz Grades and Test Grades. 2.Write the.

WARM – UP

Many Economist believe that the down turn of the US Economy is due to developments in the Housing Market. The table below indicates random Medium home prices and the Unemployment Rate at that time.

3/07 6/07 10/07 12/07 5/08 7/08 11/08 1/09

263 236 234 228 229 221 225 201

4.40 4.50 4.70 5.00 5.50 5.70 6.70 7.60

DATE

Housing $100K

Unemployment Rate

1. Describe the association between Housing values and Unemployment.

2. Write the equation of the line of regression.3. Use this model to predict unemployment if housing

reaches $180,000.4. Is this a good model?

Page 6: 12345678 8095758295 9088 86978591100909493 Student Quiz Grades Test Grades 1.Describe the association between Quiz Grades and Test Grades. 2.Write the.

3/07 6/07 10/07 12/07 5/08 7/08 11/08 1/09

263 236 234 228 229 221 225 201

4.40 4.50 4.70 5.00 5.50 5.70 6.70 7.60

DATE

Housing $100K

Unemployment Rate

1. Describe the association between Housing values and Unemployment.2. Write the equation of the line of regression.3. Use this model to predict unemployment if housing reaches $180,000.4. Is this a good model?

Housing $100K

Un

emp

loym

ent

Housing $100K

Res

idu

als

Unemployment = 17.934 – 0.054(Housing $K) Unemployment = 17.934 – 0.054(Housing $K) = 17.934 – 0.054(180) = 17.934 – 0.054(180) 8.197 =8.197 =

Page 7: 12345678 8095758295 9088 86978591100909493 Student Quiz Grades Test Grades 1.Describe the association between Quiz Grades and Test Grades. 2.Write the.

LINEAR REGRESSION t – TEST

1

1

0btSE b

22 ( , 99, )nP Value tcdf t E df

.5 3 1.5 2 1.5 1

72 98 82 89 76 73

# Hours of Study

Test Grade

Does a significant relationship exist between number of hours studying and test grades? 63.663 11.371( )Grade hours

1 1.6803SE b 11.371 0

1.6803t

2 ( 6.767 , 99, 4)P Value tcdf E 0.0025

H0: β1 = 0

Ha: β1 ≠ 0

Page 8: 12345678 8095758295 9088 86978591100909493 Student Quiz Grades Test Grades 1.Describe the association between Quiz Grades and Test Grades. 2.Write the.

Chapter 27 – INFERENCE FOR REGRESSION

– Spread around the line = sSpread around the line = see:

• The spread around the line is measured with the standard deviation of the residuals ssee.

Page 9: 12345678 8095758295 9088 86978591100909493 Student Quiz Grades Test Grades 1.Describe the association between Quiz Grades and Test Grades. 2.Write the.

Chapter 27 – INFERENCE FOR REGRESSION

– Spread of the x values = sSpread of the x values = sxx:

• A large standard deviation of x provides a more stable regression.

Page 10: 12345678 8095758295 9088 86978591100909493 Student Quiz Grades Test Grades 1.Describe the association between Quiz Grades and Test Grades. 2.Write the.

– Spread around the line = sSpread around the line = see

– Sample Size = nSample Size = n

– Spread of the x values = sSpread of the x values = sxx

11e

x

sSE b

n s

SE(b1) is the Standard Error about the slope.

Page 11: 12345678 8095758295 9088 86978591100909493 Student Quiz Grades Test Grades 1.Describe the association between Quiz Grades and Test Grades. 2.Write the.

β = 0 A Linear Relationship

does NOT exist

β ≠ 0 A Linear Relationship

does exist

1

1

0btSE b

LINEAR REGRESSION t – TESTUsed to determine whether a significant relationship exists between two quantitative variables.

/

xt

s n

Page 12: 12345678 8095758295 9088 86978591100909493 Student Quiz Grades Test Grades 1.Describe the association between Quiz Grades and Test Grades. 2.Write the.

WARM – UPMany Economist believe that the current situation of the US Economy is due to developments in the Housing Market. The table below indicates random Medium home prices and the Unemployment Rate at that time.

3/07 6/07 10/07 12/07 5/08 7/08 11/08 1/09

263 236 234 228 229 221 225 201

4.40 4.50 4.70 5.00 5.50 5.70 6.70 7.60

DATE

Housing $100K

Unemployment Rate

Dependent Variable is: URateR-squared = 68.1%s = 0.69127 with 8 – 2 = 6 degrees of freedomVariable Coefficient SE(Coeff) T-ratio P-ValueIntercept 17.93434 14.20411 1.6249 0.1386Housing -0.05410 0.015115 -3.5792 0.0117 .05410 0

0.015115t

2 ( 3.5792 , 99,6)P Value tcdf E 0.0117

= b= b11

= = SESE(b(b11))

1

1

0btSE b

3.5792

Page 13: 12345678 8095758295 9088 86978591100909493 Student Quiz Grades Test Grades 1.Describe the association between Quiz Grades and Test Grades. 2.Write the.

Chapter 27 – INFERENCE FOR REGRESSION

– Sample Size = nSample Size = n: • Having a larger sample size, n, gives more

consistent estimates.


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