You have decided to design and manufacture custom-made casual sneakers and want to forecast sneaker sales. You have decided to use domestic marketing spend as your predictor variable for sales and run a simple linear regression. You are given the equation Y = 1766.7 + 1.1667X. If you decide to spend $8,000 in domestic marketing, how much will you expect revenue to be? Round your number to the nearest whole number no decimals and no dollar signs

In addition you think that maybe it is better to use a multi-variable approach with more than one predictor variable. You also decide to consider direct sales spend and international marketing spend in addition to the total domestic marketing spend mentioned above. The data gathered for multiple regression is as follows:

Multiple Regression: Coefficients Intercept 3758.97 X Variable 1 0.47 X Variable 2 0.22 X Variable 3 0.43

If you decide to spend $5,000 (X1) on domestic marketing, $1,000 (X2) on direct sales, and $6,000 in international marketing (X3), what is your predicted sales revenue. Round your number to the nearest whole number no decimals and no dollar signs

Which form of causal forecasting produces the highest forecasted revenue?

Enter the letter that corresponds to your answer:

A = simple linear regression

B = multiple regression