Which of these is a condition for statistical inference when using regression analysis Question 18 options: The residuals should increase as values of the dependent variable increase. The residuals should indicate a curvilinear relationship with the predicted y values The residuals should be related to the predictor variables. The residuals should be generally normally distributed

The regression analysis has some assumptions like no heteroskedasticity, autocorrelation, and…

Answered: h of these is a condition for…

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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Which of these is a condition for statistical inference when using regression analysis

Question 18 options:

	The residuals should increase as values of the dependent variable increase.
	The residuals should indicate a curvilinear relationship with the predicted y values


	The residuals should be related to the predictor variables.
	The residuals should be generally normally distributed

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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