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Interpret Multiple Regression Output Dependent Variable is Sales\text {Dependent Variable is Sales} S=10.6075RSq=84.4%RSq(adj)=83.3%S = 10.6075 \quad R - S q = 84.4 \% \quad R - S q ( a d j ) = 83.3 \%

Question 3

Multiple Choice

Interpret multiple regression output.
-What affects flat panel LCD TV sales? Flat panel LCD TV's are sold through a
Variety of outlets. Sales figures (number of units) for the popular Sony Bravia were
Obtained for last quarter from a sample of 30 different stores. Also collected were data
On the selling price and amount spent on advertising the Sony Bravia (as a percentage of
Total advertising expenditure in the previous quarter) at each store. Output is shown
Below. Using the estimated multiple regression model, the number of units sold on
Average at a store that sells the Sony Bravia for $2199 and spends 10% of its advertising
Budget on the product is Dependent Variable is Sales\text {Dependent Variable is Sales}
 Predictor  Coef  SE Coef  T  P  Constant 90.1925.083.600.001 Price 0.030550.010053.040.005 Advertising 3.09260.36808.400.000\begin{array} { l r r r r } \text { Predictor } & \text { Coef } & \text { SE Coef } & \text { T } & \text { P } \\ \text { Constant } & 90.19 & 25.08 & 3.60 & 0.001 \\ \text { Price } & - 0.03055 & 0.01005 & - 3.04 & 0.005 \\ \text { Advertising } & 3.0926 & 0.3680 & 8.40 & 0.000 \end{array}
S=10.6075RSq=84.4%RSq(adj) =83.3%S = 10.6075 \quad R - S q = 84.4 \% \quad R - S q ( a d j ) = 83.3 \%


A) 53.94 units
B) 120 units
C) 66.54 units
D) 90.34 units
E) None of the above.

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