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

question 145

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Instruction 13-6
One of the most common questions of prospective house buyers pertains to the average cost of heating in dollars (Y) .
To provide its customers with information on that matter,a large real estate firm used the following 4 variables to predict heating costs: the daily minimum outside temperature in degrees of Celsius (X1) ,the amount of insulation in cm (X2) ,the number of windows in the house (X3) ,and the age of the furnace in years (X4) .Given below are the Microsoft Excel outputs of two regression models.
 Model 1  Regression Statistics  R Square 0.8080 Adjusted R Square 0.7568 Observations 20\begin{array}{lr}{\text { Model 1 }} \\\hline {\text { Regression Statistics }} \\\hline \text { R Square } & 0.8080 \\\text { Adjusted R Square } & 0.7568 \\\text { Observations } & 20 \\\hline\end{array}
ANOVA
dfSSMSF Significance F Regression 4169503.424142375.8615.78742.96869E05 Residual 1540262.32592684.155 Total 19209765.75\begin{array}{lrrrrrr}\hline & d f & & S S & M S & F & \text { Significance } F \\\hline \text { Regression } & 4 & 169503.4241 & 42375.86 & 15.7874 & 2.96869 \mathrm{E}-05 \\\text { Residual } & 15 & 40262.3259 & 2684.155 & & \\\text { Total } & 19 & 209765.75 & & & \\\hline\end{array}

 Coefficients  Standard Error t Stat  P-value  Lower 90.0%  Upper 90.0%  Intercept 421.427777.86145.41257.2E05284.9327557.9227X1 (Temperature)  4.50980.81295.54765.58E055.93493.0847X2 (Insulation)  14.90295.05082.95050.009923.75736.0485X3 (Windows)  0.21514.86750.04420.96538.31818.7484X4 (Furnace Age)  6.37804.10261.55460.14080.814013.5702\begin{array}{lrrrrrrr}\hline & \text { Coefficients } & \text { Standard Error } & {t \text { Stat }} & {\text { P-value }} & \text { Lower 90.0\% } & \text { Upper 90.0\% } \\\hline \text { Intercept } & 421.4277 & 77.8614 & 5.4125 & 7.2 \mathrm{E}-05 & 284.9327 & 557.9227 \\\mathrm{X}_{1} \text { (Temperature) } & -4.5098 & 0.8129 & -5.5476 & 5.58 \mathrm{E}-05 & -5.9349 & -3.0847 \\\mathrm{X}_{2} \text { (Insulation) } & -14.9029 & 5.0508 & -2.9505 & 0.0099 & -23.7573 & -6.0485 \\\mathrm{X}_{3} \text { (Windows) } & 0.2151 & 4.8675 & 0.0442 & 0.9653 & -8.3181 & 8.7484 \\\mathrm{X}_{4} \text { (Furnace Age) } & 6.3780 & 4.1026 & 1.5546 & 0.1408 & -0.8140 & 13.5702\end{array}  Model 2 Regression Statistics  R Square 0.7768 Adjusted R  Square 0.7506 Observations 20\begin{array}{l}\text { Model } 2\\\begin{array}{lr}\hline {\text { Regression Statistics }} \\\hline \text { R Square } & 0.7768 \\\text { Adjusted R } & \\\text { Square } & 0.7506 \\\text { Observations } & 20 \\\hline\end{array}\end{array}
ANOVA
df SS MSF Significance F Regression 2162958.227781479.1129.59232.9036E06 Residual 1746807.52222753.384 Total 19209765.75\begin{array}{lrrrrrr} & d f & &{\text { SS }} & M S & F & \text { Significance } F \\\hline \text { Regression } & & 2 & 162958.2277 & 81479.11 & 29.5923 & 2.9036 \mathrm{E}-06 \\\text { Residual } & 17 & 46807.5222 & 2753.384 & & \\\text { Total } & 19 & 209765.75 & & & \\\hline\end{array}

 Coefficients  Standard Error  t Stat  P-value  Lower 95%  Upper 95%  Intercept 489.322743.982611.12533.17E09396.5273582.1180X1 (Temperature)  5.11030.69517.35151.13E066.57693.6437X2 (Insulation)  14.71954.88643.01230.007825.02904.4099\begin{array}{lrrrrrrr} & \text { Coefficients } & \text { Standard Error } & \text { t Stat } & \text { P-value } & \text { Lower 95\% } & \text { Upper 95\% } \\\hline \text { Intercept } & 489.3227 & 43.9826 & 11.1253 & 3.17 \mathrm{E}-09 & 396.5273 & 582.1180 \\\mathrm{X}_{1} \text { (Temperature) } & -5.1103 & 0.6951 & -7.3515 & 1.13 \mathrm{E}-06 & -6.5769 & -3.6437 \\\mathrm{X}_{2} \text { (Insulation) } & -14.7195 & 4.8864 & -3.0123 & 0.0078 & -25.0290 & -4.4099\end{array}
-Referring to Instruction 13-6,what can you say about Model 1?

Calculate the differentiation value of a product relative to its competitors.
Determine the reference value for setting prices in a competitive market.
Develop pricing strategies based on a product's cost, market position, and unique value proposition.
Understand the impact of operating costs on the total cost of ownership of a product.

Definitions:

Vicarious Experiences

Learning or feeling an emotion through the experiences of another person, often through stories, media, or observing others.

Encouragement

The action of giving someone support, confidence, or hope to motivate or positively influence them.

Self-regulation

The ability of an individual to manage their emotions, thoughts, and behaviors in accordance with long-term goals.

Directing

In management, the process of guiding, leading, and overseeing the tasks and activities of an organization or team to achieve predetermined objectives.

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