Selling Price and Percent of Advertising Budget Spent Were Entered

question 2

Multiple Choice

Selling price and percent of advertising budget spent were entered into a multiple regression to determine what affects flat panel LCD TV sales.Using the output shown below, which of
The following statements is NOT true? Response Variable is Sales
$\begin{array} { l r r r r } \text { Predictor } & \text { Coef } & \text { SE Coef } & \text { T } & \text { P } \\ \text { Constant } & 90.19 & 25.08 & 3.60 & 0.001 \\ \text { Price } & - 0.03055 & 0.01005 & - 3.04 & 0.005 \\ \text { Advertising } & 3.0926 & 0.3680 & 8.40 & 0.000 \end{array}$

$S = 10.6075 \quad R - S q = 84.48 \quad R - S q ( a d j ) = 83.3 \frac { 9 } { 8 }$

• A) \(84.4 \%\) of the variation in TV sales are explained by the model.
• B) The coefficient of Price indicates that TV sales go down as Price increases.
• C) The standard deviation of the residuals is about 10.6.
• D) By the rule of thumb, the model could make errors as much as \(20.2 \mathrm { TV }\) sales.
• E) All of the above are true.