Listed below are the overhead widths (cm) of seals measured from photographs and weights (kg) of...

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Listed below are the overhead widths (cm) of seals measured from photographs and weights (kg) of the seals. Find the regression equation, letting the overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 1.8 cm, using the regression equation. Can the prediction be correct? If not, what is wrong? Use a significance level of 0.05. Overhead Width (cm) 7.3 7.4 9.9 9.4 8.7 8.5 Weight (kg) 126 161 258 211 204 202 The regression equation is = - 158 + (41.2)x. (Round the y-intercept to the nearest integer as needed. Round the slope to one decimal place as needed.) The best predicted weight for an overhead width of 1.8 cm, based on the regression equation, is (Round to one decimal place as needed.) kg. Listed below are the overhead widths (cm) of seals measured from photographs and weights (kg) of the seals. Find the regression equation, letting the overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 1.8 cm, using the regression equation. Can the prediction be correct? If not, what is wrong? Use a significance level of 0.05. Overhead Width (cm) 7.3 7.4 9.9 9.4 8.7 8.5 Weight (kg) 126 161 258 211 204 202 The regression equation is = - 158 + (41.2)x. (Round the y-intercept to the nearest integer as needed. Round the slope to one decimal place as needed.) The best predicted weight for an overhead width of 1.8 cm, based on the regression equation, is (Round to one decimal place as needed.) kg.