The data referred to in this question were collected on 16 commercial tires. The copNY tires using the weight method WM. The SAS regression output is given below as well as some summary measures rying Ead wear of commerci Analysis of Variance Sum of DF Mean Square F Value Pr > F Source Squares Model 84988 84988 .0001 Error 14 9615.88126 686.84866 Corrected 15 94604 Total Model Summary Root MSE 26.20780 R-Square 0.8984 Dependent Mean 236.00000 Adj R-Sq 0.8911 Coeff Var 11.10500 Parameter Estimates Parameter Standard Variable DF t Value Pr > |t| Estimate Error Intercept 1 13.50586 21.04761 0.64 0.5314 WM 1 0.79021 0.07104 11.12 <0.0001 What is the equation of the least squares regression line? 04-0.79021 WM+ 13.50586 09 13.50586 WM 0.79021 O9-0.79021+13.50586 09-0.79021 WM 13.50586
The data referred to in this question were collected on 16 commercial tires. The copNY tires using the weight method WM. The SAS regression output is given below as well as some summary measures rying Ead wear of commerci Analysis of Variance Sum of DF Mean Square F Value Pr > F Source Squares Model 84988 84988 .0001 Error 14 9615.88126 686.84866 Corrected 15 94604 Total Model Summary Root MSE 26.20780 R-Square 0.8984 Dependent Mean 236.00000 Adj R-Sq 0.8911 Coeff Var 11.10500 Parameter Estimates Parameter Standard Variable DF t Value Pr > |t| Estimate Error Intercept 1 13.50586 21.04761 0.64 0.5314 WM 1 0.79021 0.07104 11.12 <0.0001 What is the equation of the least squares regression line? 04-0.79021 WM+ 13.50586 09 13.50586 WM 0.79021 O9-0.79021+13.50586 09-0.79021 WM 13.50586
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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