For any regression model, the following equation holds:

R-Square=1- (percentage of total variability in the response variable not explained by the model).

TRUEFALSE

Type 2 error in hypothesis testing is failing to reject the null hypothesis when it is false.

TRUEFALSE

The value of p-value depends on the scores/values in the sample.

TRUEFALSE

Suppose you are performing a hypothesis test. Assuming that everything else remains constant, a decrease in the significance level () leads to a higher probability of rejecting the null hypothesis.

TRUEFALSE

In a simple linear regression, the sign of the slope coefficient indicates whether the correlation between Y and X is positive or negative.

TRUEFALSE

In a simple linear regression, the value of the slope coefficient is equal to the value of the correlation between Y and X.

TRUEFALSE

R-Square determines whether or not the overall regression equation is statistically significant.

TRUEFALSE