Multiple Linear Regression - Example

Salsberry Realty sells homes along the east coast of the United States. One of the questions most frequently asked by prospective buyers is: If we purchase this home, how much can we expect to pay to heat it during the winter? The research department at Salsberry has been asked to develop some guidelines regarding heating costs for single-family homes. Three variables are thought to relate to the heating costs: (1) the mean daily outside temperature, (2) the number of inches of insulation in the attic, and (3) the age in years of the furnace. To investigate, Salsberry's research department selected a random sample of 20 recently sold homes. It determined the cost to heat each home last January, as well as the January outside temperature in the region, the number of inches of insulation in the attic, and the age of the furnace. The sample information is reported below :

Heating cost Mean Outside Temperature Attic Insulation (inches) Age of Furnace (years)

250 35 3 6

360 29 4 10

165 36 7 3

43 60 6 9

92 65 5 6

200 30 5 5

355 10 6 7

290 7 10 10

230 21 9 11

120 55 2 5

73 54 12 4

205 48 5 1

400 20 5 15

320 39 4 7

72 60 8 6

272 20 5 8

94 58 7 3

190 40 8 11

235 27 9 8

139 30 7 5

I am trying to get the answers on my TI-84 Plus CALCULATOR, but I have no idea which variables should I enter in my lists and get the ANOVA table and Regression analysis!! So, if you can just typing the process what to do with my calculator to get these answers! Thank you.