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The Following Estimated Regression Equation Has Been Proposed to Predict y^=403x1+12x2+10x3\hat { y } = 40 - 3 x _ { 1 } + 12 x _ { 2 } + 10 x _ { 3 }

question 6

Essay

The following estimated regression equation has been proposed to predict monthly sales at a shoe store.
y^=403x1+12x2+10x3\hat { y } = 40 - 3 x _ { 1 } + 12 x _ { 2 } + 10 x _ { 3 }
where
x1= competitor’s previous month’s sales (in $1000 s ) x2= store’s previous month’s sales (in $1000 s ) x3=1 if radio advertising was used; 0 otherwise y^= estimated sales (in $1000 s) \begin{array} { l } x _ { 1 } = \text { competitor's previous month's sales (in } \$ 1000 \mathrm {~s} \text { ) } \\x _ { 2 } = \text { store's previous month's sales (in } \$ 1000 \mathrm {~s} \text { ) } \\x _ { 3 } = 1 \text { if radio advertising was used; } 0 \text { otherwise } \\\widehat { y } = \text { estimated sales (in } \$ 1000 \text { s) }\end{array}
a.
Predict sales (in dollars) for the shoe store if the competitor's previous month's sales were $9000, the store's previous month's sales were $30,000, and no radio advertisements were run.
b.
Predict sales (in dollars) for the shoe store if the competitor's previous month's sales were $9000, the store's previous month's sales were $30,000, and 10 radio advertisements were run.


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