Suppose we have data with the following variables.

• Monthly Sales (thousand $)
• Monthly Advertising budget (thousand $)
• Location (Domestic/International)
• Segment (Segment A, Segment B, Segment C, Segment D)

Suppose the coefficients table for the multiple linear regression model is given below.

Variable	Estimate of coefficient	p-value
(intercept)	70	Less than 0.0001
Advertising budget	3	Less than 0.0001
Location International	40	Less than 0.0001
Segment B	2	0.51
Segment C	-30	Less than 0.0001
Segment D	35	Less than 0.0001

True or False ( or not enough information) Section:

1. When we control for advertising budget and Location, Segment B does not have an impact on the average sales: the average sales are about the same in Segment B as they are in any other segment.

2. Suppose we graphed the trend associated with this model (where advertising budget is the x-axis and sales is the y-axis). Since the coefficient for Segment C is negative, this means that the trend line for Segment C is decreasing.

3. The average monthly sales in the international location is 110 thousand dollars.

4. The average monthly sales in the international location is 40 thousand dollars.