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.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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I need help with finding test statistic, thanks
Transcribed Image Text: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
Transcribed Image Text: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.)
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