a.Write down the least-squares regression equation and interpret its slope in thecontext of these data.b.Using the regression model equation obtained in part (a), predict the price of a used KiaSportage car that has been driven for 32,000 km.C.Use the information from the Excel output to test (at a 5% level of significance) whetherthe slope of the linear regression model is different from 0. Include the Hypothesis, TestStatistic, Decision, and Conclusion. An important factor for used car buyers when determining the value of a car is how far the car hasbeen driven. To examine this, a used car dealer randomly selects 50 five-year-old Kia Sportage carsthat have been sold at auction during the past month. Each car was in top condition and equippedwith automatic transmission, GPS and air conditioning.The following Microsoft Excel output analysis of these data shows the price ($'000) and the numberof kilometres ('000Km) on the odometer.Use these results to answer the questions on the next page.Distance Versus Price of Used Kia Sportage35302530405060708090Distance ('000km)Regression Statisticst StatP-value15.82319 3.51E-152.5638230.04773 -9.61369 3.28E-10Price ($'000)105020Multiple RR SquareAdjusted R SquareStandard ErrorObservationsInterceptDistance0.8797230.7739130.7655393.46069529Coefficients Standard Error40.56784-0.45886

a. Write down the least-squares regression equation and interpret its slope in the context of these data. b. Using the regression model equation obtained in part (a), predict the price of a used Kia Sportage car that has been driven for 32,000 km. C. Use the information from the Excel output to test (at a 5% level of significance) whether the slope of the linear regression model is different from 0. Include the Hypothesis, Test Statistic, Decision, and Conclusion.