The null hypothesis in a simple linear regression typically tests whether the slope of the regression line is zero, meaning that there is no linear relationship between the independent variable (number of practice quizzes) and the dependent variable (final unit mark).

In this context, the null hypothesis would be:

f. The slope of the regression line is zero.

This would imply that the number of practice quizzes attempted has no linear effect on the final unit mark. If the null hypothesis is rejected, it suggests that the number of quizzes does have a significant effect on the final mark.

Would you like to dive into more details or have any specific questions?

Here are 5 related questions:

1. What would the alternative hypothesis be for this test?
2. How do we interpret the p-value of 0 for the slope coefficient?
3. What does the t-value of 8.6312 for numQuizzes tell us about the strength of the relationship?
4. How would the results change if the p-value for numQuizzes was larger than 0.05?
5. What assumptions are important to check in a simple linear regression analysis?

Tip: In linear regression, the interpretation of the slope is key. It tells us the expected change in the dependent variable (e.g., final unit mark) for every one-unit change in the independent variable (e.g., number of quizzes attempted).