The owner of a large chain of exclusive hotels has selected nine of her smaller hotels for a test in which she varies the number of radio ads X₁, and the amount of the room discount X₂ to see how this might affect the number of new customers who rent rooms during the following week. The results are shown in the table below:

Hotel	New Customers (Y)	Number of Radio Ads (X1)	Discount Amount (X2)
1	23	4	$100
2	30	7	20
3	20	3	40
4	26	6	25
5	20	2	50
6	18	5	30
7	17	4	25
8	31	8	80
9	28	6	70

Determine the least-squares multiple regression equation.

Interpret the Y- intercept of the regression equation.

Interpret each of the estimated regression coefficients.

What is the estimated number of new customers who rent rooms if the number of radio ads is 6 and a $70 discount is offered?

Determine the approximate 95% prediction interval for the number of new customers who rent rooms when the number of radio ads is 5 and the discount is $80.

What is the value for the percentage of variation explained, and exactly what does it indicate?

At the 0.05 level, is the overall regression equation in part a significant?

Use the 0.05 level to test whether each regression coefficient differs significantly from zero.

Construct a 95% confidence interval for each regression coefficient in the regression equation.

Answer rating: 100% (QA)

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