A multiple regression with 60 observations should not have 13 predictors.

Name: A multiple regression with 60 observations should not have 13 predictors.
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Question

Quizplus · Accepted Answer

As a general rule of thumb, the number of predictors should not exceed one-tenth to one-fifth of the number of observations in a multiple regression model. In this case, 13 predictors for only 60 observations may lead to overfitting and unreliable results.

A Multiple Regression with 60 Observations Should Not Have 13