Study of woodchucks Body Heart Weight (grams) Weight (grams) 4050 10.1 2435 14.2 3135 10.3 5740 10.5 2555 13.8 3665 14.6 2035 10.8 4260 11.5 2990 13.2 4935 15.8 3690 15.6 2880 13.5 2760 15.4 2160 11.1 2360 14.4 2040 13.4 2055 14.8 2650 15.1 2665 10.5 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. 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= 3973+ (-66.1)x (Round the constant to the nearest integer as needed. Round the coefficient to one decimal place as needed.) Test the hypothesis Ho: B₁ = 0 versus H₁: B₁ #0. Is the test one-tailed or two-tailed? two-tailed one-tailed Determine the test statistic. t= (Round to two decimal places as needed.)
Study of woodchucks Body Heart Weight (grams) Weight (grams) 4050 10.1 2435 14.2 3135 10.3 5740 10.5 2555 13.8 3665 14.6 2035 10.8 4260 11.5 2990 13.2 4935 15.8 3690 15.6 2880 13.5 2760 15.4 2160 11.1 2360 14.4 2040 13.4 2055 14.8 2650 15.1 2665 10.5 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. 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= 3973+ (-66.1)x (Round the constant to the nearest integer as needed. Round the coefficient to one decimal place as needed.) Test the hypothesis Ho: B₁ = 0 versus H₁: B₁ #0. Is the test one-tailed or two-tailed? two-tailed one-tailed Determine the test statistic. t= (Round to two decimal places as needed.)
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.CR: Chapter 1 Review
Problem 86CR
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