1. Suppose you were to collect data for the pair of given variables in order to make a scatter plot. Determine for each variable if it is the explanatory variable, the response variable, or whether it could be both.

Student: grade point average, student: consistency in studies

a. Student: grade point average: explanatory Student: consistency in studies: both

b. Student: grade point average: both Student: consistency in studies: explanatory

c. Student: grade point average: response Student: consistency in studies: explanatory

d. Student: grade point average: explanatory Student: consistency in studies: response

e. Student: grade point average: both Student: consistency in studies:

2. Use the model to make the appropriate prediction. A random sample of records of electricity usage of homes in the month of July gives the amount of electricity used and size (in square feet) of 135 homes. A regression was done to predict the amount of electricity used (in kilowatt-hours) from size. The residuals plot indicated that a linear model is appropriate. The model is usage= 1271+ 0.2 size. How much electricity would you predict would be used in a house that is 2471 square feet?

a. 3742.2 kilowatt-hours

b. 6000.00 kilowatt-hours

c. 776.8 kilowatt-hours

d. 494.2 kilowatt-hours

e. 1765.2 kilowatt-hours