Please answer all

Question 26 (0.4167 points)

Below we see a plot showing the relationship between advertising budget, units sold, and Group (A or B).

The numbers labeling the x-axis, advertising budget, are 1, 10, 100, 1000, 10000, and 100000

The numbers labeling the y-axis, unis sold, are 1, 10, 100, 1000, 10000, 100000, etc.

Straight-line trend lines are shown for Group A and Group B. They do not appear to be exactly parallel, but close enough for us to make some interpretations based on "approximately parallel lines." The trend line for Group A is higher than the trend line for Group B.

Assuming these trend lines are "approximately parallel," we can conclude that

	the total number of units sold is higher in Group A than Group B.
	overall, the predicted number of units sold is higher in Group A than Group B.
	when controlling for budget, the predicted number of units sold is higher in Group A than Group B.

Question 28 (0.4167 points)

lm(log(Units_sold) ~ log(Advertising_budget) + Group, data = Data)

We obtain the coefficients table below

	Estimate of coefficient	p-value
(intercept)	4.45	Less than 0.0001
log(Advertising_budget)	1.04	Less than 0.0001
Group A	1.94	Less than 0.0001

When we control for advertising budget, the predicted number of units sold is ____ . (Select the closest answer.)

	is about 2 times lower in Group B than Group A.
	is about 15 times higher in Group A than Group B.
	is about 7 times higher in Group A than Group B.
	is about 1.92 times lower in Group B than Group A.