Super survey simulator: numbers: 0.7 hours, 1.11 gpa & 21.9 hrs, 3.69 gpa & 18 hrs, 4 gpa & 16.7 hrs, 3.21 gpa & 18 hrs, 3.7 gpa & 13.8 hrs, 1.42 gpa & 18 hrs, 4 gpa & 15.5 hrs, 3.92 gpa & 15.5 hrs, 3.92 gpa & 21.9 hrs, 3.69 gpa.

step 2

what do you think the purpose of this survey is? explain.

a) why is a scatter plot an appropriate display for this data set?

b) what features would need to be included on a scatter plot so that the data can be easily analyzed? make a list of needed features and explain why each is important to the graph.

c) next, you will make a scatterplot. name a point that will be on your scatter plot and describe what it represents.

d) using a regression calculator create a scatter plot using your data set from step one insert a screenshot.

step 3

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

b) describe the type of correlation between the 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 scatter plot.

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.

step 4

a) using your equation from step to the estimate the GPA of a student who studies for 15 hours a week. justify your answer.