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Perform Statistical Inference for Multiple Regression S=10.6075RSq=84.48RSq(adjj)=83.3%S = 10.6075 \quad \mathrm { R } - \mathrm { Sq } = 84.48 \quad \mathrm { R } - \mathrm { Sq } ( \operatorname { adj } \mathrm { j } ) = 83.3\%

question 8

Multiple Choice

Perform statistical inference for multiple regression.
-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. Which of the following statements is / are true? 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=84.48RSq(adjj) =83.3%S = 10.6075 \quad \mathrm { R } - \mathrm { Sq } = 84.48 \quad \mathrm { R } - \mathrm { Sq } ( \operatorname { adj } \mathrm { j } ) = 83.3\%
Analysis of Variance
 Source  DF  SS  MS  Regression 216477.38238.7 Residual Error 273038.0112.5 Total 2919515.4\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}


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