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


b

Business

You might also like to view...

When there is a group of explanatory variables that are in some sense logically related, all of them must be included in the regression equation.

Answer the following statement true (T) or false (F)

Business

Describe the accounting required by the GASB for municipal solid waste landfill closure and post closure care costs. (It is not necessary to describe footnote disclosures).

What will be an ideal response?

Business

The determination of whether a corporate director or officer has met his or her duty of care is measured in hindsight

Indicate whether the statement is true or false

Business

Using Table 12-6, what is the average number of customers waiting in line?

A) 0.0833 B) 0.5 C) 0.75 D) 1.33 E) 2

Business