1 Question 2 A power company would like to predict the monthly heating bill for a household in a specific county during the month of January. A random sample of households in the county was selected and their January heating bill recorded along with the variables shown below. Use the regression output shown to the right to complete parts a and b. SF: the square footage of the house Age: the age of the current heating system in years Temp: the thermostat setting, in degrees Fahrenheit, during the day Question 3 A cable company would like to develop the ability to predict the monthly cable bill for a customer. A multiple regression model was developed using a random sample of customers using the independent variables shown below. Use the regression output shown to the right to complete parts a and b. TV: the number of televisions in the household People: the number of people living in the household Years: the number of years that the household has been a customer of the company