linear regression questions.

1.Which of the following is a way to evaluate the Goodness-of-Fit of a linear regression?

a.Consider the mean of the dependent variable

b.Measure the Variance of the independent variable

c.Calculate the Covariance of the dependent and independent variables

d.Look at the Standard Error of the Sample Regression Function of the linear regression

2.The p-value for the test statistic is 0.019. If the specified Level of Significance is 5%, what is the result of the Hypothesis Test?

a.Failed to reject the Null Hypothesis

b.Rejected the Null Hypothesis

c.Need to consider a different Alternative Hypothesis

d.There isn't enough information to determine a conclusion

3.What is the range of values R-squared can take?

a.1 to 1

b.0 to 1

c.0 and above

d.Any value

4.Which of the following would cause the Standard Error for a slope coefficient to increase?

a.The Residual Standard Error decreases

b.The amount of Unexplained Variance in the dependent variable decreases

c.The Variance of the independent variable was smaller holding all else constant

d.The Variance of the independent variable was larger holding all else constant

5.Suppose the value of the Correlation Coefficient is 0.439. What does this indicate?

a.The relationship isn't statistically significant at the 5% level

b.A 1 unit increase in one variable results in a 0.439 unit decrease in the other variable

c.There is a negative correlation between the two variables

d.There is a positive correlation between the two variables