A regression model between sales y in 1000 unit price x1 in

A regression model between sales (y in $ 1,000), unit price (x_1 in dollars) and television advertisement (x_2 in dollars) resulted in the following function: y = 7 - 3x_1 + 5x_2 For this model SSR = 3500, SSE = 1500, and the sample size is 18. The coefficient of the unit price indicates that if the unit price is The coefficient of x_2 indicates that if television advertising is increased by $I (holding the unit price constant), sales are expected to If we want to test for the significance of the regression model, the critical value of Fat 95% confidence is The F statistic is The multiple coefficient of determination for this problem is

Solution

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d) increased by $1 sales are expected to decrese by 3000 because the value of the coefficient is negative

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increase by 5,000 ( because y is in 1000) and the coefficient of X2 is 5

for the other question

I can gladly help you but you should post it in a new question