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Question: The data presented below are for retail sales in the United States quarterly from the period 1992Q1 through 2003Q4. Also included is disposable personal income per capita (DPIPC) (to use as a measure of the well-being of the economy).
a. Develop a regression model of retail sales as a function of the S&P 500. Comment on the relevant summary statistics.
b. Estimate a new multiple-regression model using seasonal dummy variables for quarters 2, 3, and 4. Additionally, add a time index to account for trend. Comment on the relevant statistics of this model. Is this model an improvement on the model above? What evidence is there that this second model provides an improvement (no improvement)?
c. Square the time index variable and add it to the multiple-regression model above. Does the resulting model perform better than either previous model? Explain your reasoning.
Formulate an LP model to help Saudi Oil maximize its profits. (Assume that neither Type A nor Type B oil can be purchased) (Note: In this problem you have to figure out the decision variables, constraints and objective function)
Flying over the western states with mountainous terrain in a small aircraft is 40% riskier than flying over similar distances in flatter portions of the nation. Find the probability of no accidents in 100,000 flight operations.
based on this data give your answers to parts a-c as fractions or decimals to at least 3 decimal places. give your to
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charter southeast airlines states the flight between fort lauderdale florida and los angeles takes 5 hours and 37
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