please help, i currently am struggling

' A ' A ' 04:56:54 SubmitTest n 1 of 50 (0 complete) Q Refer to the data table below and nd the best regression equation with highway fuel consumption as the response (y) variable. Use the remaining three variables as the possible predictor variables. Is the "best" equation good for predicting the highway fuel consumption7 a Click the icon to view the data table. O A- The best regression equation is 9 = 49.8 - 0.608 D 0.00517 W because it has the highest adjusted R2 value, and its P-value is close to the lowest P-value. 3' The best regression equation is 9 = 78.8 0.258 L because it has the lowest adjusted R2 value and the highest Pvalue. O C. The best regression equation is 9 = 51.8 - 0.00627 W because it has the lowest P-value, its adjusted R2 value is the highest adjusted R2 value, and it has the fewest number of predictor variables. 0 D' The best regression equation is 9 = 51.3 0.575 D - 0.0107 L - 0.00504 W because its adjusted R2 value is close to the highest adjusted R2 value, and it has the most number of predictor variables. Is the "best" equation good for predicting the highway fuel consumption? 0 A- Yes, it is a good regression equation for predicting the highway fuel consumption because it has a low adjusted R2 and a low Pvalue. 3- Yes, it is a good regression equation for predicting the highway fuel consumption because it has a low adjusted R2 and a high P-value. O (3- Yes, it is a good regression equation for predicting the highway fuel consumption because it has a high adjusted R2 and a high P-Value. O D- Yes, it is a good regression equation for predicting the highway fuel consumption because it has a high adjusted R2 and a low Pvalue. Click to select your