Listed below are the heights (cm) of winning presidential candidates and their main opponents from several recent presidentialelections. Find the regression equation, letting president be the predictor (x) variable. Find the best predicted height of an opponentgiven that the president had a height of 188 cm. How close is the result to the actual opponent height of 175 cm?PresidentOpponent178 177 188 188 191 175 185 183 188180 183 188 173 169 173 177 185 175The regression equation is y= 223 + (-0.245) x.(Round the y-intercept to the nearest integer as needed. Round the slope to three decimal places as needed.)The best predicted height of an opponent given that the president had a height of 188 cm is(Round to one decimal place as needed.)cm.

PresidentOpponent178180177183188188188173191169175173185177183185188175The regression equation assuming President be the predictor variable is .Use the given data to form the table:XYX*YX*X178180320403168417718332391313291881883534435344188173325243534419116932279364811751733027530625185177327453422518318533855334891881753290035344Sum16531603294353303865Determine the value of β0 and β1:The regression equation assuming President be the predictor variable is .b) x = 188The best predicted height of an opponent given that the president had a height of 188 cm is 176.9 cm.The predicted result for the height of an opponent(176.9) is very close to the actual opponent height of 175 cm.a) The regression equation assuming President be the predictor variable is .b) The best predicted height of an opponent given that the president had a height of 188 cm is 176.9 cm.The predicted result for the height of an opponent(176.9) is very close to the actual opponent height of 175 cm.