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

question 111

Multiple Choice

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 and allowing for a 1% probability of committing a Type I error,what is the decision and conclusion for the test H0: ?1 = ?2 = ?3 = ?4 = 0 vs.H1: At least one ?j ? 0,j = 1,2,... ,4 using Model 1?

Calculate and analyze the return on assets to measure how efficiently a company uses its assets to generate profits.
Understand the concept of comprehensive income and the items included in it.
Identify and explain the components and significance of discontinued operations in financial statements.
Understand and apply vertical analysis to income statement items for better financial insight.

Definitions:

External Barriers

Obstacles outside of an individual's control that hinder progress or achievement in personal, professional, or societal goals.

Modular Organization

An organizational structure where components are divided into modules, each designed to carry out particular parts of the overall function, allowing for flexibility and scalability.

Layers

Refers to the different levels or strata within organizations, systems, or structures.

Teams

Groups of individuals working together towards a common goal, characterized by cooperative effort, shared responsibility, and collective accountability.

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