Which of the following statements are not true?
A) In regression analysis, the independent variable is also referred to as the predictor or explanatory variable.
B) In regression analysis, the dependent variable is also referred to as the response variable.
C) A first step in a regression analysis involving two variables is to construct a scatter plot.
D) The simple linear regression model is $Y = \beta _ { 0 } + \beta _ { 1 } x + \varepsilon$
Where the quantity $ \varepsilon$

Is a random variable, assumed to be normally distributed with $E ( \varepsilon\ ) = 0 \text { and } V ( \varepsilon\ ) = 1$

E) All of the above statements are true.

Question

Which of the following statements are not true?
A) In regression analysis, the independent variable is also referred to as the predictor or explanatory variable.
B) In regression analysis, the dependent variable is also referred to as the response variable.
C) A first step in a regression analysis involving two variables is to construct a scatter plot.
D) The simple linear regression model is $Y = \beta _ { 0 } + \beta _ { 1 } x + \varepsilon$
Where the quantity $ \varepsilon$

Is a random variable, assumed to be normally distributed with $E ( \varepsilon\  ) = 0 \text { and } V (  \varepsilon\  ) = 1$

E) All of the above statements are true.

Quizplus · Accepted Answer

The error term $\varepsilon$ in the simple linear regression model is assumed to have a mean of 0, but its variance is not restricted to 1. The variance can be any positive value, reflecting the variability of the observations around the regression line.

Which of the Following Statements Are Not True? A) in Regression

Which of the Following Statements Are Not True?
A) in Regression