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Consider a linear regression with a slope of –1.64, the residual mean square is 3.6, the sum of squares for X is 2.5, and the sample size is 16. (a) What is the standard error of the slope? (b) What is the 95% confidence interval of the slope? (c) what is the t-value we obtain when doing a t-test using a hypothesized slope of 0.0?

Consider a linear regression with a slope of –1.64, the residual mean square is 3.6, the sum of squares for X is 2.5, and the sample size is 16. (a) What is the standard error of the slope? (b) What is the 95% confidence interval of the slope? (c) what is the t-value we obtain when doing a t-test using a hypothesized slope of 0.0?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Consider a linear regression with a slope of –1.64, the residual mean square is 3.6, the sum of squares for X is 2.5, and the sample size is 16. (a) What is the standard error of the slope? (b) What is the 95% confidence interval of the slope? (c) what is the t-value we obtain when doing a t-test using a hypothesized slope of 0.0? (d) Based on that t-test statistic what can you say about the P-value?
Transcribed Image Text:Consider a linear regression with a slope of –1.64, the residual mean square is 3.6, the sum of squares for X is 2.5, and the sample size is 16. (a) What is the standard error of the slope? (b) What is the 95% confidence interval of the slope? (c) what is the t-value we obtain when doing a t-test using a hypothesized slope of 0.0? (d) Based on that t-test statistic what can you say about the P-value?
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