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 1.7 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. 7.8 161 Overhead Width (cm) 8.3 7.3 O Weight (kg) 212 166 Click the icon to view the critical values of the Pearson correlation coefficient r 9.9 276 The regression equation is y=x (Round to one decimal place as needed.) 9.1 215 9.7 262

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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5
x
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 1.7 cm. Can the
prediction e correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05.
B
View an example Get more help.
Overhead Width (cm)
8.3
7.3
Weight (kg)
212
166
Click the icon to view the critical values of the Pearson correlation coefficient r
The regression equation is y=x
(Round to one decimal place as needed.)
E
D
7.8
161
-26
HO
C
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9.9
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Transcribed Image Text:5 x 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 1.7 cm. Can the prediction e correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. B View an example Get more help. Overhead Width (cm) 8.3 7.3 Weight (kg) 212 166 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y=x (Round to one decimal place as needed.) E D 7.8 161 -26 HO C $ R F V 9.9 276 24 5 9.1 215 T ♫ONVAG G 9.7 262 6 B MacBook Air Y H 7 N U J 8 6 M I ( 9 K O < I O L command QQQQQQQQI P Clear all > ; x [ option 11 Check answer ? I . delete
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