a.Below shows the linear relationship between first year college GPA (dependent variable) and high school GPA (independent/predictor variable). For both variables the GPA ranges from 0 to 4. What if you had students applying to college but the range of high school GPA was 0 to 5, how might this affect the correlation or regression model that was based on the relationship shown below? (1 mark)

d. The correlation between first year college GPA and high school GPA is 0.683. If a simple linear regression was conducted to predict first year college GPA from high school GPA what does the correlation tell us about the fit of the model? (1 mark)

PART 2

A researcher is interested in predicting the number of homes sold from years in business as a real estate agent and their level of education. Use the realestate.xlsx data to respond to the following:

a.What is the dependent variable and the independent variable(s)? (1 mark)

b.In jamovi explore the relationship between these variables? Describe what the results tell you? (2 marks)

c.Based on your response in (b) what type of regression analysis would you conduct, simple linear regression or multiple linear regression? Why? (1 mark)

d.Based on your response in (c) what is your research question? (1 mark)

e.Conduct the regression analysis in jamovi. What do you conclude from your results? (2 marks)

\fNumHomesSold Yrs Busineduclevel 10 11 6 7 12 12 15 11 3 3 12 17 18 11 4 12 13 5 11 16 16 12 11 12 6 11 3 12 14 13 11 15 15 12 6 11 3 12 6 11 11 12 12 12 14 11 15 21 12