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A Company Selling Swimming Goggles Wants to Analyze Its Australian

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Essay

A company selling swimming goggles wants to analyze its Australian sales figures.
Time series forecasting with regression was used to generate Excel output to estimate trend and seasonal effects of the time series of Swimming goggle sales (in thousands of dollars) where the origin is the March Quarter 2000 and Q1 denotes sales in the March quarter, Q3 denotes sales in the September quarter and Q4 denotes sales in the December quarter.  SUMMARV OUTPUT  Regression Stotitics  Multiple R 0.9460 R Square 0.8950 Adjusted RSquare 0.8864 Standard Error 3.7394 Observations 54\begin{array}{l}\text { SUMMARV OUTPUT }\\\hline\text { Regression Stotitics }\\\begin{array}{lc}\hline \text { Multiple R } & 0.9460 \\\text { R Square } & 0.8950 \\\text { Adjusted RSquare } & 0.8864 \\\text { Standard Error } & 3.7394 \\\text { Observations } & 54 \\\hline\end{array}\end{array}
 ANOVA \text { ANOVA }
 Sgnificance dfSMSFF Regression 45837.5960031459.4104.37012.41949E23 Residual 49685.163256413.9829 Total 536522.759259\begin{array}{lccccc} \hline& & & & & \text { Sgnificance } \\& d f & S & M S & F & F \\\hline \text { Regression } & 4 & 5837.596003 & 1459.4 & 104.3701 & 2.41949 \mathrm{E}-23 \\\text { Residual } & 49 & 685.1632564 & 13.9829 & & \\\text { Total } & 53 & 6522.759259 & & &\\\hline\end{array}
 Standard  Upper  Coefficients  Error  t Stat p-value  Lower 95%95% Intercept 3.05881.33312.29440.02610.37975.7378t0.25180.03277.70520.00000.18610.3175Q112.46041.38978.96640.00009.667715.2530Q31.14581.47210.77840.44011.81244.1041Q423.91211.440316.60250.000021.017726.8064\begin{array}{lcrrrrr}\hline&& \text { Standard } & & && \text { Upper } \\&\text { Coefficients } & \text { Error } & \text { t Stat } & \text {p-value } & \text { Lower } 95 \%& 95 \%\\\hline\text { Intercept } & 3.0588 & 1.3331 & 2.2944 & 0.0261 & 0.3797 & 5.7378 \\\mathrm{t} & 0.2518 & 0.0327 & 7.7052 & 0.0000 & 0.1861 & 0.3175 \\\mathrm{Q} 1 & 12.4604 & 1.3897 & 8.9664 & 0.0000 & 9.6677 & 15.2530 \\\mathrm{Q} 3 & 1.1458 & 1.4721 & 0.7784 & 0.4401 & -1.8124 & 4.1041 \\\mathrm{Q} 4 & 23.9121 & 1.4403 & 16.6025 & 0.0000 & 21.0177 & 26.8064\\\hline\end{array} (a) Using p-values test the significance of the independent variables.
(b) Test the significance of the overall regression equation.


Definitions:

Central Nervous System

Comprised of the brain and spinal cord, this system acts as the principal control center for processing and organizing information throughout the body.

Sensory and Motor Neurons

Nerve cells that transmit sensory information (sensory neurons) and those that control muscle movement (motor neurons).

Somatic

Relating to or affecting the body, especially as distinct from the mind or emotions.

Autonomic

Relating to the autonomic nervous system, which controls involuntary bodily functions, including heart rate, digestion, and respiratory rate.

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