Selling Price and Amount Spent Advertising Were Entered into a Multiple

Selling price and amount spent advertising were entered into a multiple regression to determine what affects flat panel LCD TV sales. Based on the output below, which
Of the following statements is/are true? Dependent Variable is Sales
$\begin{array} { l r r r r } \text { Predictor } & \text { Coef } & \text { SE Coef } & \text { T } & \text { P } \\ \text { Constant } & 90.19 & 25.08 & 3.60 & 0.001 \\ \text { Price } & - 0.03055 & 0.01005 & - 3.04 & 0.005 \\ \text { Advertising } & 3.0926 & 0.3680 & 8.40 & 0.000 \end{array}$
$$S = 10.6075 \quad R - S q = 84.4 \frac { \circ } { 8 } \quad \mathrm { Sq } ( \mathrm { adj } ) = 83.3 \text { 웋 }$$
Analysis of Variance
$\begin{array} { l r r r } \text { Source } & \text { DF } & \text { SS } & \text { MS } \\ \text { Regression } & 2 & 16477.3 & 8238.7 \\ \text { Residual Error } & 27 & 3038.0 & 112.5 \\ \text { Total } & 29 & 19515.4 & \end{array}$

A) The multiple regression model is significant overall.
B) Selling Price is a significant independent variable in explaining Bravia sales.
C) Amount Spent on Advertising is a significant independent variable in explaining Bravia sales.
D) Only A and B
E) A, B and C