Sale prices of apartments. A Minneapolis, Minnesota, real estate appraiser used regression analysis to explore the relationship between the sale prices of apartment buildings and various characteristics of the buildings. Data on a random sample of 25 apartment buildings were collected and saved in data file APT.. Run a regression model using sale prices as the dependent variable and the rest variables as the independent variables. a. Report the estimated regression line. b. Use the appropriate analysis to evaluate whether there is multicollinearity. A simple YES or NO answer will not count. You answers should be supported by statistical analysis. R SalePrice Apartments 90300 384000 157500 676200 165000 300000 108750 276538 420000 950000 560000 268000 290000 173200 323650 162500 353500 134400 187000 155700 93600 110000 573200 79300 272000 4252 20 Age 26 5 10 4 11 20 62 26 13 9 6 11 5 20 4 8 4 4 4 14 4 5 82 13 66 64 55 LotSize 65 82 23 18 71 74 56 76 21 24 19 62 70 19 57 82 50 10 82 82 4365 17798 5913 7750 5150 12506 7160 5120 11745 21000 11221 7818 4900 5424 11834 5246 11223 5834 9075 5280 6864 4510 11192 7425 7500 BldArea 4266 14391 6615 34144 6120 14552 3040 7881 12600 39448 30000 8088 11315 4461 9000 3828 13680 4680 7392 6030 3840 3092 23704 3876 9542