Please answer f,g, and h for me

Name: Hiah Landers MAT 1450 - Unit 5 Written HW f. Interpre 1. Classified ads in the local newspaper offered several used Toyota Corollas for sale. Listed below are the ages of the cars and the advertised prices . Age (yr) Price Advertised (S) 13,990 13,495 12.949 The Slope - 924.52, which indicates ford 9500 Every additional year of age therefore 10,195 8995 decreases by Estimately $924.52 9495 a UI 6999 g. Interpret 4-Intercept 14, 293.17 therefors Estimated 6950 7850 orand - now 0 years old 6999 5995 20 4950 a. Use technology to find the equation of the linear regression line. 10 $495 13 2850 9 = - 924.52x + 14, 293.17 b. Use technology to calculate the correlation coefficient ( r ) . h. Calcula 1= - 0.974 ( very strong negative linear correlation) Using the correlation coefficient (r), is this linear regression model a good fit for our data? Explain why or why not. 0. 974 is close to I which is almost a negative inear relationship. X = 9 What price does the linear regression line predict for a Toyota Corolla that is 9 years old? y = - 924. 52(9) + 14, 293. 17 I approximately - 8, 320, 68 + 14, 293 17 = 85,972.49 Does it make sense to use our regression line to make the prediction you did in part (d)? Explain. regression model has a strong fit to the data the correlation coeficient r= -0.974 Therefore Ellable predications with the data range Interpret the y-intercept of the regression line in context. g. Interpret the slope of the regression line in context. PhotoGrid h. Calculate the value of r-squared (r?) and interpret it in context