Find the regression equation, letting 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. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. a. The regression equation is Modifying Above y with caret equals plus x. (Round to one decimal place as needed.) b. The best predicted weight for an overhead width of 1.8 cm is (Round to one decimal place as needed.)
Find the regression equation, letting 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. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. a. The regression equation is Modifying Above y with caret equals plus x. (Round to one decimal place as needed.) b. The best predicted weight for an overhead width of 1.8 cm is (Round to one decimal place 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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Find the regression equation, letting 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. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05.
a. The regression equation is
Modifying Above y with caret equals plus x.
(Round to one decimal place as needed.)
b. The best predicted weight for an overhead width of
1.8 cm is
(Round to one decimal place as needed.)
Transcribed Image Text:Overhead Width (cm)
Weight (kg)
7.5
164
8.4
234
8.9
252
8.2
194
7.2
171
7.8
204
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