Hello! I need help understanding how to solve the T statistic with the given formula. and also compute the linear regression equation based on the sample data.

1-12 1-2One of the editors of a major automobile publication has collected data on 30 of the best-selling cars in the United States. The data are shown in the accompanying table. The editor is particularly interested in the relationship between highway mileage (miles per gallon) and curb weight of the vehicles. Complete parts a through c below. Use a significance level of 0.05 where needed. Click the icon to view the automobile data a. Develop a scatter plot for these data. Discuss what the plot implies about the relationship between the two variables. Assume that highway mileage is predicted from vehicle curb weight. Choose the correct graph below. Automobile Data Table X OA O C. Mileage, Curb Q Q Highway (MPG) Weight MPG 3379 3130 2500 5000 2600 Weight (1b) 5000 5000 3066 2500 Weight (b) 3247 2798 Discuss what the plot implies about the relationship between the two variables. Choose the correct answer below. 3227 A. A negative, linear relationship exists between x and y. O B. A positive, curvilinear r tionship exists between x and y. O C. A positive, linear relationship exists between x and y. 3376 O D. There is no relationship. b. Compute the correlation coefficient for the two variables and test to determine whether there is the curb weight and the highway mileage of automobiles. r= -0.701 (Round to three decimal places as needed.) What are the appropriate hypotheses to test for a linear relationship? A. Ho: p#0 B. Ho: P= 0 HA - P=0 HA: P#0 OC. Ho: P=0 OD. Ho: P=0 HA: p20 HA: P> 0 Calculate the t-test statistic for correlation. 1=(Round to three decimal places as needed.)