**Question:**If the estimated *intercept* of the regression equation is negative, we can say the estimated *correlation coefficient* between the two variables is also negative.- ○ True- ○ False**Explanation:**This question tests your understanding of the relationship between the intercept of a regression equation and the correlation coefficient between two variables. In a regression equation of the form \( y = mx + b \), where \( b \) is the intercept, the sign of \( b \) does not determine the direction of the correlation between \( x \) and \( y \). Instead, it is the slope \( m \) that indicates the correlation's direction. A negative slope indicates a negative correlation, while a positive slope indicates a positive correlation. Therefore, this statement is false.

Let the regression equation is y= ax + b where y is dependent variable and x is independent…

Answered: If the estimated intercept of the…

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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If the estimated intercept of the regression equation is negative, we can say the estimated correlation coefficient between the two variables is also negative. O True O False