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n be he pred varate Fedhe best predided weightofase revehead wih meaed omaphatogragh 2om Can the predicon be comea Whatong iicance levelof os Dverhead WT 94 45 4 222 96 217 view the otical vales of the Peason comlation coicient e The reg

n be he pred varate Fedhe best predided weightofase revehead wih meaed omaphatogragh 2om Can the predicon be comea Whatong iicance levelof os Dverhead WT 94 45 4 222 96 217 view the otical vales of the Peason comlation coicient e The reg

MATLAB: An Introduction with Applications
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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1) Check Images

2) The best predicted weight for an overhead width of 2 cm is?        kg.

(Round to one decimal place as​ needed.)

3) Can the prediction be​ correct? What is wrong with predicting the weight in this​ case?

Find the regression equation, letting overhead width be the predictor (x) varlabile. Find the best predicted welght of a seal if the overhead width measured thom a photograph is 2 om. Can the predicion be corect? What is weong with predicting the weight in this case? Use a significance levell of 0.05 Overhead Width (cm) Weight (kg) 96 267 94 05 254 222 73 95 144 217 26 Click the icon to view the critical values of the Pearson correlation coefficient The regression equation is y-O-D (Round to one decimal place as needed)
Transcribed Image Text:Find the regression equation, letting overhead width be the predictor (x) varlabile. Find the best predicted welght of a seal if the overhead width measured thom a photograph is 2 om. Can the predicion be corect? What is weong with predicting the weight in this case? Use a significance levell of 0.05 Overhead Width (cm) Weight (kg) 96 267 94 05 254 222 73 95 144 217 26 Click the icon to view the critical values of the Pearson correlation coefficient The regression equation is y-O-D (Round to one decimal place as needed)
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