Hi, can you please help me answer these multiple-choice questions relating to the first picture. No working out is necessary, Thanks :)

Questions 28 - 35 concern the following idea: A statistician has part of a larger data set that links the price of second hand cars to various features of the cars. The data that he has is as follows: . Kms - number of kilometers the cars has been driven Engine - the engine size (in litres) Doors - whether the car has 2 or 4 doors Leather - whether the car has leather seats or not . Price - selling price of the car (in dollars) A multiple regression is run, with the following output (some items have been replaced with ???): summary(Im(price ~ kms + engine + doors + leather, data=cars)) Coefficients: Estimate Std. Error tvalue Pr(>|t)) (Intercept) 2.471e+04 1.251e+03 ???