Question

Hey, I really need help with these questions because they're stressing me out! I provided you with my data in the pictures.

1. Create a residual plot for your data.

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

3. Estimate the GPA of a student who studies for 15 hours a week. Justify your
answer.

Answer 1

G) Yes, because the plots and the linear model both align to produce a similar calculated sum.

H) I need to see the data table again for step 2d.

Explanation:

1.) You scatter plot should be off by 6.97, since that was the first difference in your data table set of terms.

Basically subtract all of the GPAs from the Hours in the table.

Ex). Hours - GPA = Difference

or like before,

9.2 - 2.23 = 6.97

Do the rest of the numbers like this then plot the answers. I'd advise you plot your second set of scatter plot points in a different color.