The reliability of a study using multiple regression analysis depends on all of the following with the exception of: a. errors-in-variables. b. presence of homoskedasticity in the error term. c. omitted variable bias. d. external validity.
Question
The reliability of a study using multiple regression analysis depends on all of the following with the exception of:
a. errors-in-variables.
b. presence of homoskedasticity in the error term.
c. omitted variable bias.
d. external validity.
Solution
The correct answer is d. External validity.
Here's why:
a. Errors-in-variables: This is important for the reliability of a study using multiple regression analysis. If the variables are measured with error, it can bias the estimates of the regression coefficients.
b. Presence of homoskedasticity in the error term: This is also important. Homoskedasticity refers to the assumption that the variance of the errors is constant across all levels of the independent variables. If this assumption is violated (i.e., if there is heteroskedasticity), it can lead to inefficient estimates and incorrect inferences.
c. Omitted variable bias: This is a major concern in multiple regression analysis. If a variable that affects the dependent variable is omitted from the model, it can bias the estimates of the regression coefficients.
d. External validity: This refers to the generalizability of the study findings to other settings or populations. While this is an important consideration in research, it does not directly affect the reliability of the multiple regression analysis itself. Therefore, this is the exception among the options provided.
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