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

question 8

Essay

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}     -Use the scatterplots provided below to check assumptions for multiple regression. For each plot, list the assumption being checked, whether or not it is satisfied, and why.

-Use the scatterplots provided below to check assumptions for multiple regression. For each plot, list the assumption being checked, whether or not it is satisfied, and why.

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Definitions:

General Partner

A member of a partnership who has unlimited liability and is responsible for the management of the partnership.

Limited Partnership

A business structure with at least one general partner who manages the business and assumes unlimited liability, and one or more limited partners who provide capital and have limited liability.

Limited Partnership

A partnership structure where at least one partner has unlimited liability (general partner) and one or more partners have limited liability (limited partners), restricting their losses to their investment in the partnership.

Limited Liability Partnership

A business structure where partners have limited liabilities, protecting personal assets from the debts of the business.

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