Data: hours gpa
13.8 1.42
18 3.7
16.7 3.21
18 4
0.7 1.11
21.9 3.69
18 4
18 3.8
19.7 3.5
16.7 3.21

Step 3: analyze your data - Now that you have represented your data graphically, it can be more easily analyzed.

a) Describe how the line of best fit and correlation coefficient can be used to determine the correlation between two variables on your graph.

b) describe the type of correlation between two variables on your graph. How do you know?

c) does the correlation between the variables imply causation? Explain.

d) how do you calculate the residuals for a scatter plot?

e) calculate the residuals for your scatterplot in step 2d.

f) Create a residual plot for your data.

g) Does your residual plot show that the linear model from the regression calculator is a good
model? Explain your reasoning.