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Reminder
Remember that both mean and standard deviation are not resistant measures so you want to take that into account when calculating the correlation r.
Review practice quiz for 3.2 quiz
AP Statistics, Section 3.2, Part 1 1
Warm Up Select two quantitative variables for the class and
create a scatter plot to see if there is an association.
OR Ladies
Collect the height in inches and shoes size from the ladies and create a scatter plot.
Gentlemen Collect the height in inches and shoes size from the
gentlemen and create a scatter plot.
Section 3.2
AP Statistics
AP Statistics, Section 3.2, Part 1 4
Correlation
Is there a “correlation” between a baseball team’s “earned run average” and the number of wins?
Is the association strong or weak?
Is the association positively associated or negatively associated?
2003 ERA vs Wins
ERA Quality of pitching
AP Statistics, Section 3.2, Part 1 5
Calculating Correlation
The calculation of correlation is based on mean and standard deviation.
Remember that both mean and standard deviation are not resistant measures.
1
1i i
x y
x x y yrn s s
Reminder
Remember that both mean and standard deviation are not resistant measures so you want to take that into account when calculating the correlation r.
AP Statistics, Section 3.2, Part 1 6
AP Statistics, Section 3.2, Part 1 7
Calculating Correlation
What does the contents of the parenthesis look like?
What happens when the values are both from the lower half of the population? From the upper half?
1
1i i
x y
x x y yrn s s
Both z-values are negative. Their product
is positive.
Both z-values are positive. Their product
is positive.
The formula for calculating
z-values.
AP Statistics, Section 3.2, Part 1 8
Calculating Correlation
What happens when one value is from the lower half of the population but other value is from the upper half?
1
1i i
x y
x x y yrn s s
One z-value is positive and the other is
negative. Their product is negative.
AP Statistics, Section 3.2, Part 1 9
Using the TI-83 to calculate r
You must have “DiagnosticOn” from the “Catalog”
AP Statistics, Section 3.2, Part 1 10
Using the TI-83 to calculate r
Run LinReg(ax+b) with the explantory variable as the first list, and the response variable as the second list
Example
shoe size vs. height
STATCALC8:LinReg(a+bx)L1,L2
AP Statistics, Section 3.2, Part 1 11
AP Statistics, Section 3.2, Part 1 12
Using the TI-83 to calculate r
The results are the slope and vertical intercept of the regression equation (more on that later) and values of r and r2. (More on r2 later.)
On AP Exam
1. Interpret the slopeERA is the number of runs given up per
game by the pitcherFor every run my team gives up, the team
losses 15games
2. Interpret the intercept
3. Interpret r
AP Statistics, Section 3.2, Part 1 13
AP Statistics, Section 3.2, Part 1 14
Facts about correlation
Both variables need to be quantitative Because the data values are standardized,
it does not matter what units the variables are in
The value of r is unitless.
AP Statistics, Section 3.2, Part 1 15
Facts about correlation
The value of r will always be between -1 and 1. Values closer to -1 reflect strong negative linear
association. Values closer to +1 reflect strong positive linear
association. Values close to 0 reflect no linear association. Correlation does not measure the strength of
non-linear relationships
AP Statistics, Section 3.2, Part 1 16
Interpreting r
If the -1<r<-.75, the association is called “strong negative” linear association
If the -.75<r<-.25, the association is called “moderate negative” linear association
If the -.25<r<0, the association is called “weak negative” linear association
And r=0, no correlation!
AP Statistics, Section 3.2, Part 1 17
Interpreting r
If the 0<r<.25, the association is called “weak positive” linear association
If the .25<r<.75, the association is called “moderate positive” linear association
If the .75<r<1, the association is called “strong positive” linear association
AP Statistics, Section 3.2, Part 1 18
Facts about correlation
Correlation is blind to the relationship between explanatory and response variables.
Even though you may get a r value close to -1 or 1, you may not say that explanatory variable causes the response variable. We will talk about this in detail in the second semester.
AP Statistics, Section 3.2, Part 1 19
AP Statistics, Section 3.2, Part 1 20
Assignment
Exercises 3.25,3.26, 3.27,3.31,3.36,3.37 Chapter 3.2 practice quiz for quiz on