Question
(a) temperature and demand
Temperature 50 45 40 35 30 25 20 15 10 17895x 8.2561 3-0.0785 10
SLMMARY OUTPUT Regression Stouisti Multiple R RSquare Adjusted RSquare Standard Error Observations 0.273225562 0.078250288 5.389757015 17519 ANOVA df MS F 5ion ficance F Regre ssion Residual Total 1 43230.25113 43230.25113 1483.159 0. 17517 506E559.7531 2.04918068 751 5520900042 P-value Lower 95% Upper 95% Lower 95.0% Upper 95- % 8.255186894 0.21770549 37.91905712 19E-302 782845249 8.681911298 7.82545249 681911298 0 1.63859027 158553405 16385927 1820553405 Coefficlents Standard Emor tStot Intercept 391464713 1.78962183B0.045391304 38.57666617

(b) (5 marks) Discuss the appropriateness of the model calculated in (a). Provide full reasoning in support of your conclusion.
(c) (4 marks) Assuming the model is appropriate for use as a linear regression (ignore any conclusion you have reached in part (b) above), what is the likely demand for electricity in Victoria if the temperature reaches 35o Celsius. Show all calculations, including any appropriate formula(e).
(d) (5 marks) To answer this part of the question you will need to do some research. Please remember the referencing requirements for academic submissions. In the preparation of linear regression models using the appropriate Excel analysis tool, a graph titled ‘Normal Probability Plot’ is provided. What does this plot purport to show and what does it mean in the context of this question?
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