Which of the following is not an assumption of a linear regression?AThe residuals follow a normal distribution.BThe variance from the regression line is the sameCThe slope of the relationship between the X and Y variables is constant.DThe line minimizes the sum of the squared vertical difference between the observation and the line.

1. Linear relationship: linear relationship between the independent variable and the dependent…

Answered: Which of the following is not an…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 4PPS

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Which of the following is not an assumption of a linear regression?

A	The residuals follow a normal distribution.
B	The variance from the regression line is the same
C	The slope of the relationship between the X and Y variables is constant.
D	The line minimizes the sum of the squared vertical difference between the observation and the line.

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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