In conducting multiple regression analysis, a researcher must be aware that other factors and influences may also affect the standard error, such as:
A)How spread out the data are from the best-fit regression line
B)The amount of variation in the independent variable
C)Whether the independent variables are highly correlated with one another
D)All of the above

Question

Quizplus · Accepted Answer

All the options listed affect the standard error in multiple regression analysis. A) The spread of data from the regression line impacts the error because more spread indicates more error in prediction. B) Variation in the independent variable is crucial for the regression model to have predictive power. C) High correlation among independent variables, known as multicollinearity, can inflate the variance of the coefficient estimates and thus affect the standard error.

In Conducting Multiple Regression Analysis, a Researcher Must Be Aware