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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 0.7264 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 0.7264 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 0.7264 seconds higher than that of a non-sedan with the same engine size.


Definitions:

Advantages

The conditions or factors that put someone or something in a favorable or superior position compared to others.

Disadvantages

Refers to the negative aspects, drawbacks, or cons that are associated with a decision, situation, or policy.

Delayering

Reducing the number of levels in the organization's job structure.

Organization's Flexibility

The ability of an organization to adapt to changes, innovate, and adjust its operations or structure in response to external or internal stimuli.

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