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. Judging from the correlation matrix below, do you think the slope for Height in the simple regression equation: Shoe_Size= (slope) Height + intercept is the same as 0.225, the slope for height in the multiple regression equation given above? ncomrect Yes ncorrect No, it would be smaller Correct: No, it would be bigger ncorrect It's impossible to know unless you know the SD of both variables. Computer's answer now shown above. You are correct. Your receipt no. is Previous Tries Height Weight Shoe_Size 1.000 0.3795 0.6398 0.3795 1.000 Shoe_Size 0.6398 0.6199 1.000 Height Weight 0.6199 1. R2 = 0.5754 snd n = 425. Compute the Chi Square statistic for testing the overall regression effect Ho: Both slopes=0. 575.9421 Computer's answer now shown above. You are correct. Your receipt no. is Previous Tries How many degrees of freedom? 2 Computer's answer now shown above. You are correct. Your receipt no. is I Brevious Tries )When the null is true we'd expect the Chi Square stat to be around.

. Judging from the correlation matrix below, do you think the slope for Height in the simple regression equation: Shoe_Size= (slope) Height + intercept is the same as 0.225, the slope for height in the multiple regression equation given above? ncomrect Yes ncorrect No, it would be smaller Correct: No, it would be bigger ncorrect It's impossible to know unless you know the SD of both variables. Computer's answer now shown above. You are correct. Your receipt no. is Previous Tries Height Weight Shoe_Size 1.000 0.3795 0.6398 0.3795 1.000 Shoe_Size 0.6398 0.6199 1.000 Height Weight 0.6199 1. R2 = 0.5754 snd n = 425. Compute the Chi Square statistic for testing the overall regression effect Ho: Both slopes=0. 575.9421 Computer's answer now shown above. You are correct. Your receipt no. is Previous Tries How many degrees of freedom? 2 Computer's answer now shown above. You are correct. Your receipt no. is I Brevious Tries )When the null is true we'd expect the Chi Square stat to be around.

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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c. Judging from the correlation matrix below, do you think the slope for Height in the simple regression equation: Shoe_Size= (slope) Height + intercept is the same as 0.225, the slope for height in the multiple regression equation given above? Incorect Yes Incorrect No, it would be smaller Correct: No, it would be bigger Incorrect It's impossible to know unless you know the SD of both variables. Computer's enswer now shown above. You are correct. Your receipt no. is Previous Tries Height weight Shoe_Size 1.000 0.3795 0.6398 0.3795 1.000 0.6199 Shoe_Size 0.6398 0.6199 1.000 Height Weight d. R2 = 0,5754 and n = 425 Compute the Chi Square statistic for testing the overall regression effect Hg: Both slopes=0. 575.9421 Computer's answer now shown above. YouI are correct. . Your receipt no. is Previous Tries i) How many degrees of freedom? 2 Computer's answer now shown above. You are correct. Your receipt no. is Previous Tries ii) When the null is true we'd expect the Chi Square stat to be around. Subrnit Answer Tries 0/2 iii) Given how your Chi square stst comperes to that, estimste the p-value. Pis sbout Submit Answer Tries 0/2 e. Now compute F- statistic. Submit Answer Tries 0/2 i) How many degrees of freedom in the numerator? denominator? Submit Answer Tries 0/2 ii) When the null is true we'd expect the F to be around. Submit Answer Tries 0/2 iii) Given how your F stat compares to that, estimate the p-value. Pis about (%) Submit Answer Tries 0/2
Transcribed Image Text:c. Judging from the correlation matrix below, do you think the slope for Height in the simple regression equation: Shoe_Size= (slope) Height + intercept is the same as 0.225, the slope for height in the multiple regression equation given above? Incorect Yes Incorrect No, it would be smaller Correct: No, it would be bigger Incorrect It's impossible to know unless you know the SD of both variables. Computer's enswer now shown above. You are correct. Your receipt no. is Previous Tries Height weight Shoe_Size 1.000 0.3795 0.6398 0.3795 1.000 0.6199 Shoe_Size 0.6398 0.6199 1.000 Height Weight d. R2 = 0,5754 and n = 425 Compute the Chi Square statistic for testing the overall regression effect Hg: Both slopes=0. 575.9421 Computer's answer now shown above. YouI are correct. . Your receipt no. is Previous Tries i) How many degrees of freedom? 2 Computer's answer now shown above. You are correct. Your receipt no. is Previous Tries ii) When the null is true we'd expect the Chi Square stat to be around. Subrnit Answer Tries 0/2 iii) Given how your Chi square stst comperes to that, estimste the p-value. Pis sbout Submit Answer Tries 0/2 e. Now compute F- statistic. Submit Answer Tries 0/2 i) How many degrees of freedom in the numerator? denominator? Submit Answer Tries 0/2 ii) When the null is true we'd expect the F to be around. Submit Answer Tries 0/2 iii) Given how your F stat compares to that, estimate the p-value. Pis about (%) Submit Answer Tries 0/2
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