Why is the sample size so important to statistical analysis, in this case during regression analysis?
A) It provides a more reliable regression model.
B) It provides additional assurance that predictors are from a normally distributed data set.
C) It increases the chances of detecting a difference if one exists.
D) All of the above.

Question

Quizplus · Accepted Answer

A larger sample size provides more data and reduces the uncertainty in the estimate. This makes the regression model more reliable. Additionally, a larger sample size increases the chance of detecting a difference if one exists, and it is more likely that the data will be normally distributed. Therefore, all of the given options are true.

Why Is the Sample Size So Important to Statistical Analysis