The pattern of covariation around the regression line which is not constant around the regression line and varies in some way when the values change from small to medium and large is known as _____.
A) multiple regression
B) homoskedasticity
C) heteroskedasticity
D) normal distribution
E) constant association

Question

Quizplus · Accepted Answer

Heteroskedasticity refers to the unequal distribution of errors (residuals) for different levels of predictor variables, resulting in a non-constant variance around the regression line. Option A (multiple regression) refers to a statistical technique that involves analyzing the relationship between multiple independent variables and a dependent variable. Option B (homoskedasticity) refers to the equal distribution of errors (residuals) for different levels of predictor variables, resulting in a constant variance around the regression line. Option D (normal distribution) refers to a symmetrical distribution of data points around the mean. Option E (constant association) does not accurately describe the pattern of covariation around the regression line.

The Pattern of Covariation Around the Regression Line Which Is