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The Owner of an Air Conditioner Business Wants to Investigate

question 91

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The owner of an air conditioner business wants to investigate the relationship between the weekly number of air conditioners sold with average weekly temperature and the seasons of the year.
A random sample of 14 weeks is taken, with the average temperature of that week (in degrees Celsius) and the quarter from which that week belonged, noted.
There are three indicator variables: March, September and December.
Excel is used to generate the following multiple linear regression output.  SUMMARY OUTPUT  Regression Statistics  Multiple R 0.99 R Square 0.97 Adjusted RSquare 0.96 Standard Error 4.54 Observations 14.00 ANOVA  df SSMSF Significance  Regression 4.006999.271749.8284.860.00 Residual 9.00185.5820.62 Total 13.007184.86 Coefficients  Standard  Error  tStat  P-value  Lower 95%  Upper 95% Intercept 17.948.542.100.0737.271.38 Temperature 1.000.352.840.020.201.79 March 1.014.600.220.839.3911.40 September 7.225.581.290.235.4019.84 Deomber 27.876.554.260.0013.0642.68\begin{array}{|l|r|r|r|r|r|c|}\hline \text { SUMMARY OUTPUT } & \\\hline \text { Regression Statistics } & \\\hline \text { Multiple R } & 0.99 \\\hline \text { R Square } & 0.97 \\\hline \text { Adjusted RSquare } & 0.96 \\\hline \text { Standard Error } & 4.54 \\\hline \text { Observations } & 14.00 \\\hline\\\hline \text { ANOVA }\\\hline &{\text { df }} &{SS} &MS & F& {\text { Significance }} \\\hline \text { Regression } & 4.00 & 6999.27 & 1749.82 & 84.86 & 0.00 \\\hline \text { Residual } & 9.00 & 185.58 & 20.62 & & \\\hline \text { Total } & 13.00 & 7184.86 & & & \\\hline\\\hline & \text { Coefficients } & \begin{array}{c}\text { Standard } \\\text { Error }\end{array} & \text { tStat } & \text { P-value } & \text { Lower 95\% } & \begin{array}{c}\text { Upper } \\95 \%\end{array} \\\hline \text { Intercept } & -17.94 & 8.54 & -2.10 & 0.07 & -37.27 & 1.38 \\\hline \text { Temperature } & 1.00 & 0.35 & 2.84 & 0.02 & 0.20 & 1.79 \\\hline \text { March } & 1.01 & 4.60 & 0.22 & 0.83 & -9.39 & 11.40 \\\hline \text { September } & 7.22 & 5.58 & 1.29 & 0.23 & -5.40 & 19.84 \\\hline \text { Deomber } & 27.87 & 6.55 & 4.26 & 0.00 & 13.06 & 42.68 \\\hline\end{array} Test the significance of the coefficient of Temperature, at the 5% level of α. Justify your choice of the alternative hypothesis.

Identify and explain the roles of conditioned stimuli (CS) and unconditioned stimuli (US) in classical conditioning.
Describe the phenomenon of experimental extinction and its causes.
Recognize examples of conditioned responses (CR) and unconditioned responses (UR).
Explain the concept of stimulus generalization and its implications in classical conditioning.

Definitions:

Shift

The period during which a set of workers is scheduled to work, or the action of changing the position, direction, or focus of something.

Valves

Mechanical devices that control the flow and pressure of liquids, gases, and slurries within a system.

Hour

A unit of time equal to 60 minutes or 3600 seconds.

Transformation Process

The series of actions or operations that convert inputs into outputs in manufacturing or service delivery.

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