When determining whether to include or exclude a variable in regression analysis,if the p-value associated with the variable's t-value is above some accepted significance value,such as 0.05,then the variable
A)is a candidate for inclusion.
B)is a candidate for exclusion.
C)is redundant.
D)does not fit the guidelines of parsimony.

Question

Quizplus · Accepted Answer

When the p-value associated with a variable's t-value is above an accepted significance level (e.g., 0.05), it suggests that the variable is not statistically significant in explaining the variation in the dependent variable, making it a candidate for exclusion from the model.

When Determining Whether to Include or Exclude a Variable in Regression