Kohl's wishes to investigate the relationship between level of advertising, coupon value and sales. Kohl's advertises several times a month and includes a coupon (in dollars) with each advertisement. The value of the coupon remains the same in a month but varies from month to month. Kohl's expects that the number advertisements and coupon value have a positive impact on sales. In addition, Kohl's expects that the impact of advertisements increases as the coupon value increases.Kohl's collects the sales (in thousands of dollars), number of ads and coupon value for the last one year. The data is in Kohls.sav. Express the model that the company must use, state the null and alternate hypothesis, estimate the model and provide interpretation. When the manufacturer advertises 5 times in a month and includes a $3 coupon, what is the expected sales?

This is what I have so far for the Solution:

The model is:

y = ₀ + ₁(X₁) + ₂(X₂) + e

Where,

Y = sales

X₁ = Advertisements

X₂ = Coupon value

Hypothesis:

H_1-o: ₁ = 0

H_1-a: ₁ > 0

H_2-o: ₂ = 0

H_2-a: ₂ > 0

The data is:

Sales Ads CouponValue

110.54 3 4

209.83 13 2

256.74 13 3

157.86 13 1

174.32 8 3

208.69 13 4

178.57 15 1

89.34 3 3

71.58 3 2

295.77 15 3

100.65 8 1

239.03 15 2

I need to complete this question in SPSS. With that, I need a step-by-step solution.