The assumption that there is an equal variance or scatter of data points dispersed along the regression line is referred to as ______.
A) normality
B) linearity
C) homoscedasticity
D) restriction of range

Question

Quizplus · Accepted Answer

Homoscedasticity refers to the assumption that the variance of the residuals or errors in a regression model is constant across all values of the predictor variable. This assumption is important for making accurate predictions and inferences using the model, and violations of homoscedasticity can lead to biased and unreliable results. Normality refers to the assumption that the residuals are normally distributed, and linearity refers to the assumption that the relationship between the predictor and response variables is linear. Restriction of range refers to a situation where the range of scores on one or both variables is limited, which can affect the validity and generalizability of the results.

The Assumption That There Is an Equal Variance or Scatter