**Question:**The Null Hypothesis for linear regression always uses a one-tailed test because we do not care if the coefficient being tested is positive or negative.- ○ True- ○ False**Explanation:**This question examines the assumptions behind hypothesis testing in the context of linear regression. In most cases, a two-tailed test is used to determine if a coefficient is significantly different from zero, regardless of direction (positive or negative). A one-tailed test might be applied if there is a specific hypothesis about the direction of the effect.

The simple linear regression equation is : Y=α+βX Here α and β are the regression coefficients known…

Answered: The Null Hypothesis for linear…

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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The Null Hypothesis for linear regression always uses a one-tailed test because we do not care if the coefficient being tested is positive or negative. O True False