5. Scatterplot: A collection of discrete points that describe a situation (data)
Line of Best Fit/Regression Line:
6. Scatterplot: A collection of discrete points that describe a situation (data)
Line of Best Fit/Regression Line: A line that comes close to most of the
points in a scatterplot
7. Scatterplot: A collection of discrete points that describe a situation (data)
Line of Best Fit/Regression Line: A line that comes close to most of the
points in a scatterplot
***Does not need to touch any points!!!***
8. Scatterplot: A collection of discrete points that describe a situation (data)
Line of Best Fit/Regression Line: A line that comes close to most of the
points in a scatterplot
***Does not need to touch any points!!!***
Coefficient of Correlation:
9. Scatterplot: A collection of discrete points that describe a situation (data)
Line of Best Fit/Regression Line: A line that comes close to most of the
points in a scatterplot
***Does not need to touch any points!!!***
Coefficient of Correlation: Determines the strength of the relationship
between the variables
10. Scatterplot: A collection of discrete points that describe a situation (data)
Line of Best Fit/Regression Line: A line that comes close to most of the
points in a scatterplot
***Does not need to touch any points!!!***
Coefficient of Correlation: Determines the strength of the relationship
between the variables
***Will be on -1 ≤ r ≤ 1***
11. Scatterplot: A collection of discrete points that describe a situation (data)
Line of Best Fit/Regression Line: A line that comes close to most of the
points in a scatterplot
***Does not need to touch any points!!!***
Coefficient of Correlation: Determines the strength of the relationship
between the variables
***Will be on -1 ≤ r ≤ 1***
***When r < 0, the slope is negative. When r > 0, the slope is positive.***
12. Scatterplot: A collection of discrete points that describe a situation (data)
Line of Best Fit/Regression Line: A line that comes close to most of the
points in a scatterplot
***Does not need to touch any points!!!***
Coefficient of Correlation: Determines the strength of the relationship
between the variables
***Will be on -1 ≤ r ≤ 1***
***When r < 0, the slope is negative. When r > 0, the slope is positive.***
***The closer that |r| = 1, the stronger the correlation.***
13. Example 1
We’re comparing time spent exercising with resting heart rates. The info is in
your notes. And we’re going to go through the graphing process.
16. Example 2
a. What correlation exists?
Positive
b. What is the correlation value (r)?
17. Example 2
a. What correlation exists?
Positive
b. What is the correlation value (r)?
r = .7260615475
18. Example 2
a. What correlation exists?
Positive
b. What is the correlation value (r)?
r = .7260615475
c. If you spent 5 hours a week studying, what grade would you expect?
19. Example 2
a. What correlation exists?
Positive
b. What is the correlation value (r)?
r = .7260615475
c. If you spent 5 hours a week studying, what grade would you expect?
About a 77