Question 1(1 point)

What condition should be met before proceeding with a hypothesis test for the slope of a regression line?

Question 1 options:

A: n>=30

B: The residual plot has not pattern.

C: The sample are independent from each other

D: The scatterplot has not pattern

Question 2(1 point)

Question 2 options:

Statistical software is generally used to test the significance of a regression model. The table below shows software output for a least squares regression line.

The regression equation is Change = -6.7142 - 1.0010 unemp Predictor Coef SE Coef T P Constant -6.7142 5.4567 -1.23 0.2300 unemp -1.0010 0.8717 -1.15 0.2617 S = 9.624 R-Sq = 0.03% R-Sq(adj) = -3.7% 

Fill in the blanks with the correct answers, using the table above. Assume a significance level of 0.05.

The variable "unemp" is the_____________ variable. The value of the slope of the regression line is not significantly different from _______ because the p-value is _______ which is larger than 0.05.

Question 3(1 point)

Why is the slope of a regression line compared against 0 in the hypothesis test?

Question 3 options:

A: Because a slope of 0 is a horizontal line.

B: Because that's just what you're supposed to do.

C: Because 0 is always used in hypothesis testing.

D: Because a slope of 0 means the regression line is flat and thus there's no linear relationship.

Question 4(1 point)

If you want to test the significance of the slope of a regression line, what hypotheses should you test?

Question 4 options:

A: Ho:0=0

B: Ho: 1 not equal 0

C: Ho: =0

D: Ho: 1=0

E: Ho: b1=0