A statistics consulting center at a major university analyzed data on normal woodchucks for the university's veterinary school. The variables of interest were body weight in grams and heart weight in grams. It was desired to develop a linear regression equation in order to determine if there is a significant linear relationship between heart weight and total body weight. Use this information to answer the questions. EF Click the icon to view the table of woodchuck body weights and heart weights. Use heart weight as the independent variable and body weight as the dependent variable and fit a simple linear regression using the given data. y = 0+(0)x - X (Round the constant to the nearest integer as needed. Round the coefficient to one decimal place as needed.) Study of woodchucks Test the hypothesis Ho: B, = 0 versus H, : B, # 0. Body Weight Heart Weight Is the test one-tailed or two-tailed? (grams) (grams) 4050 13.5 O two-tailed 2435 14.6 one-tailed 3135 12.5 5740 13.8 Determine the test statistic. 2555 13.4 3665 13.7 t=(Round to two decimal places as needed.) 2035 14.1 4260 13.9 Determine the P-value. 2990 12.5 4935 12.6 P-value = (Round to three decimal places as needed.) 3690 10.9 What do you conclude? 2880 12.4 2760 15.7 Ho- There V sufficient evidence to suggest a significant linear relationship between heart weight and total body weight in the woodchucks 2160 14.4 2360 10.8 2040 13.2 2055 12.4 265 13.9 2665 14.6