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Use the Following Information for Problems
Sales Figures (Number 1 s1 \mathrm {~s}

question 36

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Use the following information for problems
Sales figures (number of units), selling price and amount spent on advertising (as a percentage of total advertising expenditure in the previous quarter) for the popular Sony Bravia Television were obtained for last quarter from a sample of 30 different stores. The results of a multiple regression are presented below. Dependent Variable 1 s1 \mathrm {~s} 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=84.4RSq(adj)=83.3÷76S = 10.6075 \quad R - S q = 84.4 \leqslant \quad R - S q ( a d j ) = 83.3 \div \frac { 7 } { 6 }
Analyaia of Variance
 Source  DF  SS  MS  Regresgion 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 { Regresgion } & 2 & 16477.3 & 8238.7 \\ \text { Residual Error } & 27 & 3038.0 & 112.5 \\ \text { Total } & 29 & 19515.4 & \end{array}
 Use the following information for problems  Sales figures (number of units), selling price and amount spent on advertising (as a percentage of total advertising expenditure in the previous quarter) for the popular Sony Bravia Television were obtained for last quarter from a sample of 30 different stores. The results of a multiple regression are presented below. Dependent Variable  1 \mathrm {~s}  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 \leqslant \quad R - S q ( a d j ) = 83.3 \div \frac { 7 } { 6 }  Analyaia of Variance  \begin{array} { l r r r } \text { Source } & \text { DF } & \text { SS } & \text { MS } \\ \text { Regresgion } & 2 & 16477.3 & 8238.7 \\ \text { Residual Error } & 27 & 3038.0 & 112.5 \\ \text { Total } & 29 & 19515.4 & \end{array}     -State the hypotheses for testing the regression coefficient of Price. Based on the results, what do you conclude?

-State the hypotheses for testing the regression coefficient of Price. Based on the
results, what do you conclude?


Definitions:

Income Statement

A financial statement that reports a company's financial performance over a specific accounting period, detailing revenues, expenses, and profits or losses.

Balance Sheet

An overview document that itemizes a business’s resources, debts, and owner’s equity at a particular date, giving a concise view of its fiscal status.

Trade Credit Discounts

Reductions in the price of goods or services offered to buyers as an incentive to pay earlier than the payment terms require.

Costly Trade Credit

Describes the high costs associated with taking advantage of credit offered by suppliers or creditors, particularly when payment terms are not met, resulting in high interest rates or financial penalties.

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