Examlex

Solved

14-22 Introduction to Multiple Regression One of the Most Common (Y)( Y )

question 270

Short Answer

14-22 Introduction to Multiple Regression One of the most common questions of prospective house buyers pertains to the cost of heating in dollars (Y)( 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)\left( X _ { 1 } \right) and the amount of insulation in inches (X2)\left( X _ { 2 } \right) . 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}{lr}\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}

ANOVA
 14-22 Introduction to Multiple Regression 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  \left( X _ { 1 } \right)  and the amount of insulation in inches  \left( X _ { 2 } \right) . Given below is EXCEL output of the regression model.  \begin{array}{lr} \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}   ANOVA     \begin{array}{lrrrrrr}  & \text { Coefficients } & \text { Standard Error } & t \text { Stat } & \text { P-value } & \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 \end{array}   Also  \operatorname { SSR } \left( X _ { 1 } \mid X _ { 2 } \right) = 8343.3572  and  \operatorname { SSR } \left( X _ { 2 } \mid X _ { 1 } \right) = 4199.2672  -Referring to Scenario 14-6, the coefficient of partial determination  r _ { Y 1 \cdot 2 } ^ { 2 }  ⋅ is ____.

 Coefficients  Standard Error t Stat  P-value  Lower 95%  Upper 95%  Intercept 448.292590.78534.93790.0001256.7522639.8328 Temperature 2.76211.23712.23270.03935.37210.1520 Insulation 15.940810.06381.58400.131637.1736\begin{array}{lrrrrrr} & \text { Coefficients } & \text { Standard Error } & t \text { Stat } & \text { P-value } & \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\end{array}

Also SSR(X1X2)=8343.3572\operatorname { SSR } \left( X _ { 1 } \mid X _ { 2 } \right) = 8343.3572 and SSR(X2X1)=4199.2672\operatorname { SSR } \left( X _ { 2 } \mid X _ { 1 } \right) = 4199.2672
-Referring to Scenario 14-6, the coefficient of partial determination rY122r _ { Y 1 \cdot 2 } ^ { 2 } ⋅ is ____.


Definitions:

Protection

Measures or policies implemented to guard against harm or loss in a legal, financial, or security context.

Takings Clause

A provision in the Fifth Amendment of the U.S. Constitution that prohibits the government from taking private property for public use without just compensation.

Public Use

Refers to the government's authority to take private property for public purposes under the doctrine of eminent domain, provided there is just compensation.

Public Purpose

The justification for government action or policy that is intended to serve the general public or common welfare.

Related Questions