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SCENARIO 16-13
Given Below Is the Monthly Time Series Data

question 17

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SCENARIO 16-13
Given below is the monthly time series data for U.S. retail sales of building materials over a
specific year.  Month  Retail Sales 16,59426,61038,17449,513510,595610,41579,94989,81099,637109,732119,214129,201\begin{array} { | c | c | } \hline \text { Month } & \text { Retail Sales } \\\hline 1 & 6,594 \\\hline 2 & 6,610 \\\hline 3 & 8,174 \\\hline 4 & 9,513 \\\hline 5 & 10,595 \\\hline 6 & 10,415 \\\hline 7 & 9,949 \\\hline 8 & 9,810 \\\hline 9 & 9,637 \\\hline 10 & 9,732 \\\hline 11 & 9,214 \\\hline 12 & 9,201 \\\hline\end{array} The results of the linear trend, quadratic trend, exponential trend, first-order autoregressive,
second-order autoregressive and third-order autoregressive model are presented below in which
the coded month for the 1st month is 0:  Linear trend model: \text { Linear trend model: }
 Coefficients  Standard Error  t Stat  P-value  Intercept 7950.7564617.634212.87290.0000 Coded Month 212.650395.11452.23570.0494\begin{array}{lrrrr} & \text { Coefficients } & \text { Standard Error } & \text { t Stat } & \text { P-value } \\\hline \text { Intercept } & 7950.7564 & 617.6342 & 12.8729 & 0.0000 \\\text { Coded Month } & 212.6503 & 95.1145 & 2.2357 & 0.0494\end{array}

 Quadratic trend model: \text { Quadratic trend model: }
 SCENARIO 16-13 Given below is the monthly time series data for U.S. retail sales of building materials over a specific year.  \begin{array} { | c | c | }  \hline \text { Month } & \text { Retail Sales } \\ \hline 1 & 6,594 \\ \hline 2 & 6,610 \\ \hline 3 & 8,174 \\ \hline 4 & 9,513 \\ \hline 5 & 10,595 \\ \hline 6 & 10,415 \\ \hline 7 & 9,949 \\ \hline 8 & 9,810 \\ \hline 9 & 9,637 \\ \hline 10 & 9,732 \\ \hline 11 & 9,214 \\ \hline 12 & 9,201 \\ \hline \end{array}  The results of the linear trend, quadratic trend, exponential trend, first-order autoregressive, second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the 1st month is 0:  \text { Linear trend model: }   \begin{array}{lrrrr}  & \text { Coefficients } & \text { Standard Error } & \text { t Stat } & \text { P-value } \\ \hline \text { Intercept } & 7950.7564 & 617.6342 & 12.8729 & 0.0000 \\ \text { Coded Month } & 212.6503 & 95.1145 & 2.2357 & 0.0494 \end{array}    \text { Quadratic trend model: }       \text { Exponential trend model: }   \begin{array}{lrrrr} \hline & \text { Coefficients } & \text { Standard Error } & \text { t Stat } & \text { P-value } \\ \hline \text { Intercept } & 3.8912 & 0.0315 & 123.3674 & 0.0000 \\ \text { Coded Month } & 0.0116 & 0.0049 & 2.3957 & 0.0376 \end{array}     \text { First-order autoregressive: }   \begin{array}{lrrrr}  & \text { Coefficients } & \text { Standard Error } & t \text { Stat } & {\text { P-value }} \\ \hline \text { Intercept } & 3132.0951 & 1287.2899 & 2.4331 & 0.0378 \\ \text { YLag1 } & 0.6823 & 0.1398 & 4.8812 & 0.0009 \\ \hline \end{array}    -Referring to Scenario 16-13, what is the exponentially smoothed value for the  12 ^ { \text {th } }  month using a smoothing coefficient of W = 0.5 if the exponentially smooth value for the  10 ^ { \text {th } }  and 11th month are 9,746.3672 and 9,480.1836, respectively?

 Exponential trend model: \text { Exponential trend model: }
 Coefficients  Standard Error  t Stat  P-value  Intercept 3.89120.0315123.36740.0000 Coded Month 0.01160.00492.39570.0376\begin{array}{lrrrr}\hline & \text { Coefficients } & \text { Standard Error } & \text { t Stat } & \text { P-value } \\\hline \text { Intercept } & 3.8912 & 0.0315 & 123.3674 & 0.0000 \\\text { Coded Month } & 0.0116 & 0.0049 & 2.3957 & 0.0376\end{array}


 First-order autoregressive: \text { First-order autoregressive: }
 Coefficients  Standard Error t Stat  P-value  Intercept 3132.09511287.28992.43310.0378 YLag1 0.68230.13984.88120.0009\begin{array}{lrrrr} & \text { Coefficients } & \text { Standard Error } & t \text { Stat } & {\text { P-value }} \\\hline \text { Intercept } & 3132.0951 & 1287.2899 & 2.4331 & 0.0378 \\\text { YLag1 } & 0.6823 & 0.1398 & 4.8812 & 0.0009 \\\hline\end{array}


-Referring to Scenario 16-13, what is the exponentially smoothed value for the 12th 12 ^ { \text {th } } month
using a smoothing coefficient of W = 0.5 if the exponentially smooth value for the 10th 10 ^ { \text {th } } and
11th month are 9,746.3672 and 9,480.1836, respectively?


Definitions:

Psychological Reactance

A reaction to regain freedom or control when one feels it is being threatened or reduced, often leading to resistance or doing the opposite of what is being sought.

Empathy

The ability to understand and share the feelings of another, often leading to a deeper connection and emotional support.

Cognitive Dissonance Theory

A psychological theory suggesting that individuals experience discomfort when holding two or more contradictory beliefs, attitudes, or values, leading them to attempt to reduce the dissonance.

Theory of Planned Behavior

A theory in psychology that forecasts a person's likelihood of performing a specific action at a given time and location, taking into account their attitudes, societal expectations, and their sense of control over the behavior.

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