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SCENARIO 14-16
What Are the Factors That Determine the Acceleration YY

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SCENARIO 14-16
What are the factors that determine the acceleration time (in sec.) from 0 to 60 miles per hour of a
car? Data on the following variables for 30 different vehicle models were collected: YY (Accel Time): Acceleration time in sec.
XIX _ { I } (Engine Size): c.c.
X2X _ { 2 } (Sedan): 1 if the vehicle model is a sedan and 0 otherwise

The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.

 Regression Statistics  Multiple R 0.6096 R Square 0.3716 Adjusted R Square 0.3251 Standard Error 1.4629 Observations 30\begin{array}{lr}\hline{\text { Regression Statistics }} \\\hline \text { Multiple R } & 0.6096 \\\text { R Square } & 0.3716 \\\text { Adjusted R Square } & 0.3251 \\\text { Standard Error } & 1.4629 \\\text { Observations } & 30 \\\hline\end{array}

ANOVA
 SCENARIO 14-16 What are the factors that determine the acceleration time (in sec.) from 0 to 60 miles per hour of a car? Data on the following variables for 30 different vehicle models were collected:  Y  (Accel Time): Acceleration time in sec.  X _ { I }  (Engine Size): c.c.  X _ { 2 }  (Sedan): 1 if the vehicle model is a sedan and 0 otherwise  The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   \begin{array}{lr} \hline{\text { Regression Statistics }} \\ \hline \text { Multiple R } & 0.6096 \\ \text { R Square } & 0.3716 \\ \text { Adjusted R Square } & 0.3251 \\ \text { Standard Error } & 1.4629 \\ \text { Observations } & 30 \\ \hline \end{array}   ANOVA      \begin{array}{lrrrrrr} \hline & \text { Coefficients } & \text { Standard Error } & \text { t Stat } & \text { P-value } & \text { Lower 95\% } & \text { Upper 95\% } \\ \hline \text { Intercept } & 7.1052 & 0.6574 & 10.8086 & 0.0000 & 5.7564 & 8.4540 \\ \text { Engine Size } & -0.0005 & 0.0001 & -3.6477 & 0.0011 & -0.0008 & -0.0002 \\ \text { Sedan } & 0.7264 & 0.5564 & 1.3056 & 0.2027 & -0.4152 & 1.8681 \\ \hline \end{array}      -Referring to Scenario 14-16, the 0 to 60 miles per hour acceleration time of a sedan is predicted to be 0.0005 seconds higher than that of a non-sedan with the same engine size.


 Coefficients  Standard Error  t Stat  P-value  Lower 95%  Upper 95%  Intercept 7.10520.657410.80860.00005.75648.4540 Engine Size 0.00050.00013.64770.00110.00080.0002 Sedan 0.72640.55641.30560.20270.41521.8681\begin{array}{lrrrrrr}\hline & \text { Coefficients } & \text { Standard Error } & \text { t Stat } & \text { P-value } & \text { Lower 95\% } & \text { Upper 95\% } \\\hline \text { Intercept } & 7.1052 & 0.6574 & 10.8086 & 0.0000 & 5.7564 & 8.4540 \\\text { Engine Size } & -0.0005 & 0.0001 & -3.6477 & 0.0011 & -0.0008 & -0.0002 \\\text { Sedan } & 0.7264 & 0.5564 & 1.3056 & 0.2027 & -0.4152 & 1.8681 \\\hline\end{array}

 SCENARIO 14-16 What are the factors that determine the acceleration time (in sec.) from 0 to 60 miles per hour of a car? Data on the following variables for 30 different vehicle models were collected:  Y  (Accel Time): Acceleration time in sec.  X _ { I }  (Engine Size): c.c.  X _ { 2 }  (Sedan): 1 if the vehicle model is a sedan and 0 otherwise  The regression results using acceleration time as the dependent variable and the remaining variables as the independent variables are presented below.   \begin{array}{lr} \hline{\text { Regression Statistics }} \\ \hline \text { Multiple R } & 0.6096 \\ \text { R Square } & 0.3716 \\ \text { Adjusted R Square } & 0.3251 \\ \text { Standard Error } & 1.4629 \\ \text { Observations } & 30 \\ \hline \end{array}   ANOVA      \begin{array}{lrrrrrr} \hline & \text { Coefficients } & \text { Standard Error } & \text { t Stat } & \text { P-value } & \text { Lower 95\% } & \text { Upper 95\% } \\ \hline \text { Intercept } & 7.1052 & 0.6574 & 10.8086 & 0.0000 & 5.7564 & 8.4540 \\ \text { Engine Size } & -0.0005 & 0.0001 & -3.6477 & 0.0011 & -0.0008 & -0.0002 \\ \text { Sedan } & 0.7264 & 0.5564 & 1.3056 & 0.2027 & -0.4152 & 1.8681 \\ \hline \end{array}      -Referring to Scenario 14-16, the 0 to 60 miles per hour acceleration time of a sedan is predicted to be 0.0005 seconds higher than that of a non-sedan with the same engine size.
-Referring to Scenario 14-16, the 0 to 60 miles per hour acceleration time of a
sedan is predicted to be 0.0005 seconds higher than that of a non-sedan with the same engine size.


Definitions:

Accuracy

The degree to which the result of a measurement, calculation, or specification conforms to the correct value or a standard.

Posting

The act of recording financial transactions in the ledger of an accounting system.

Transaction

An agreement or exchange between two parties that involves the buying, selling, or trading of goods, services, or financial instruments.

Proof

in a financial context, refers to the process of verifying the accuracy and consistency of accounting records and financial statements.

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