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SCENARIO 13-6
One of the Most Common Questions of Prospective

question 130

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SCENARIO 13-6
One of the most common questions of prospective house buyers pertains to the cost of heating in dollars (Y) .To provide its customers with information on that matter, a large real estate firm used the following 2 variables to predict heating costs: the daily minimum outside temperature in degrees of Fahrenheit ( X1 ) and the amount of insulation in inches ( X 2 ) .Given below is EXCEL output of the regression model.  Regression Statistics  Multiple R 0.5270 R Square 0.2778 Adjusted R Square 0.1928 Standard Error 40.9107 Observations 20\begin{array}{l}\begin{array} { l r } \hline { \text { Regression Statistics } } \\\hline \text { Multiple R } & 0.5270 \\\text { R Square } & 0.2778 \\\text { Adjusted R Square } & 0.1928 \\\text { Standard Error } & 40.9107 \\\text { Observations } & 20 \\\hline\end{array}\\\end{array}
 ANOVA  df  SS  MS F Significance F  Regression 210943.01905471.50953.26910.0629 Residual 1728452.60271673.6825 Total 1939395.6218\begin{array}{lrrrrr}\text { ANOVA }\\\hline&\text { df } & \text { SS } & \text { MS } & F & \text { Significance F }\\\hline\text { Regression } & 2 & 10943.0190 & 5471.5095 & 3.2691 & 0.0629 \\\text { Residual } & 17 & 28452.6027 & 1673.6825 & & \\\text { Total } & 19 & 39395.6218 & & &\end{array} 13-22 Multiple Regression  Coefficients  Standard Error  t Stat  P-volue  Lower 95%  Upper 95%  Intercept 448.292590.78534.93790.0001256.7522639.8328 Temperature 2.76211.23712.23270.03935.37210.1520 Insulation 15.940810.06381.58400.131637.17365.2919 Also SSR(X1X2) =8343.3572 and SSR(X2X1) =4199.2672\begin{array}{l}\begin{array} { l r r r r r r } \hline & \text { Coefficients } &{ \text { Standard Error } } & { \text { t Stat } } & \text { P-volue } & \text { Lower 95\% } & \text { Upper 95\% } \\\hline \text { Intercept } & 448.2925 & 90.7853 & 4.9379 & 0.0001 & 256.7522 & 639.8328 \\\text { Temperature } & - 2.7621 & 1.2371 & - 2.2327 & 0.0393 & - 5.3721 & - 0.1520 \\\text { Insulation } & - 15.9408 & 10.0638 & - 1.5840 & 0.1316 & - 37.1736 & 5.2919 \\\hline\end{array}\\\text { Also } \operatorname { SSR } \left( X _ { 1 } \mid X _ { 2 } \right) = 8343.3572 \text { and } \operatorname { SSR } \left( X _ { 2 } \mid X _ { 1 } \right) = 4199.2672\end{array}
-Referring to SCENARIO 13-6, the estimated value of the regression parameter β\beta 1 in means that

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Definitions:

Differentiation

The process of distinguishing a product or brand from its competitors through unique characteristics, aiming to create a perceived value to encourage customer preference.

Cost Leadership

A business strategy focused on becoming the lowest cost producer in an industry to offer products or services at the most competitive price.

Generic Marketing Strategies

Broad approaches to marketing that can be applied across different industries and markets, often centered around the concepts of cost leadership, differentiation, or focus.

Competitive Scope

The breadth of the arena in which a company competes, including factors like geography, product range, and target market segments.

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