Chapter 12, Problem 12.21AC

1. Develop a simple linear regression equation for starting salaries using an independent variable that has the closest relationship with the salaries. Explain how you chose this variable.

For nine months, Joan observes the average daily gas consumption for her house and the corresponding average temperature that month. She gets the following scatterplot (with regression line equation presented and drawn in):             Interpreting the regression line (formula above the graph), in general, about how much is gas consumption reduced for each degree increase in average temperature in any given month?          AC 43, 20, 83, 800, 1438                  ["", "", "", ""]            Over the nine months Joan took measurements, approximately what was the range of gas consumptions?    AC   20,80,38,1438                     ["", "", "", ""]            For a month in which the average temperature is 40, predict the daily amount of gas consumed for that month.          AC 309, 630,425,800            ["", "", "", ""]            After collecting the data, Joan had insulation installed in her home. The next month, the average temperature was 30 and her home (with insulation) consumed…

The following equation is the result of performing a multiple regression analysis: Job performance = 10 + (5*job knowledge) + (0.7* conscientiousness), where job knowledge is measured on a scale of 0-5 and conscientiousness is measured on a scale of 0 to 100. Which of the following conclusions is correct? !! O If a person scored 5 on job knowledge and 100 on conscientiousness he or she would have the maximum predictive score possible If a person scored 0 on both job knowledge and conscientiousness, his or her predictive score is 0 ONeither job knowledge nor conscientiousness predicts performance O Conscientiousness is less important than job knowledge. Question 3! For a measuring tool to be usefulitmus be