Exercise

# Testing the Regression Model II

Have a look at the output from your last question (enter `summary(mod1)`

into your console). The column "Estimate" shows the coefficients for the intercept (top) and the regression slope (bottom), "Std.Error" shows you the standard error, "t value" shows the t-value, and "Pr(>|t|)" shows you the p-value associated with the t-value.

Based on the p-value for the slope coefficient, which of the following statments is correct?

Instructions

### Possible answers

The slope coefficient is significantly different from zero, so we reject the null hypothesis.

The slope coefficient is not significantly different from zero, so we reject the null hypothesis.

The slope coefficient is significantly different from zero, so we accept the null hypothesis.

The slope coefficient is significantly different from zero, so we accept the null hypothesis.