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Write three econometric models capturing 1) overall; 2) within; and 3) between variation
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- Why does dependent variables must covariate in the multivariate analyses like MANOVA/MANCOVA? What happens if they don't covariate, will you be able to proceed in multivariate analyses?Econometrics Thomas Eisensee and David Stromberg wanted to measure how much news coverage of a foreign disaster impacted the amount of disaster relief provided by the U.S. government. They argue that the simple relationship would be biased. Let X = Minutes of News Coverage and Y= Disaster Aid. Choose a variable X2 that could bias the simple relationship. This variable should impact the amount of coverage and impact the amount of aid for reasons other than purely news coverage. Eisensee and Stromberg introduce an instrument Z = During the Olympics. Explain how Z could satisfy the relevant and exogenous criteria. Explain how you could use Z to estimate the impact of X on Y free from X2 bias. Hint: you should mention two stages.A kids' organization sold 570 bars last year at $ 2.55 per candy bar. Research has suggested that for each $ 0.25 price increase, they will sell 20 less candy bars. They want to know what price should they sell their candy bars at to maximize their revenue. Please help them out, showing your work neatly in the following steps. And please label the steps clearly with the letters A through F A) Define your variables. This means that for every letter you use to represent a value, you communicate what it equals in words. B) Find the linear equation that relates the price and the number sold. C) Determine a function that represents the Revenue. (Remember, Revenue = (Price)*(Number Sold)). D) Graph your revenue function on your calculator or Desmos or something similar and on your paper, labeling the axes and the maximum point. E) Uusing your calculator or Desmos or something similar, use your graph to determine the price that maximizes the revenue for the organization. Do NOT use calculus…
- Southwest Airlines is able to keep fares low, in part because of relatively low maintenance costs on its airplanes. One of the main reasons for the low maintenance costs is that Southwest flies only one type of aircraft, the Boeing 737. However, Southwest flies three different versions of the 737. Suppose Southwest decides to conduct a study to determine whether there is a significant difference in the average annual maintenance costs for the three types of 737s used. a. State an independent variable for such a study. b. What are some of the levels or classifications that might be studied under this variable? c. Give a dependent variable for this study.what is correlation cofficientAn increase in meat prices coincides with an increase in rainfall is an associative relationship the statement above is true/false?
- The goal of the consumer is to maximize the total utility or satisfaction derived from their purchase choices, given the unique budget constraint. To calculate total utility of a given combination of T- shirts and movies, one would use the following approach: Group of answer choices Use utils as a measure of utility, assigning a specific number to T-shirts and movies, and then add those together. For a given combination of T-shirts and movies, survey a group of individuals to determine an average for utils to be assigned to the number of T-shirts and movies. For a given combination of T-shirts and movies, assign a number of utils to that combination. For a given combination of T-shirts and movies, use Google to identify the number of utils associated with the number of T-shirts and movies and then sum them.The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1) is the square footage, the second independent variable (x2) is the number of bedrooms, and the third independent variable (x3) is the age of the house. Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 2750 5 14 296600 2696 5 11 294400 2523 4 7 281400 2057 4 7 240600 1797 4 5 208600 1767 4 5 196400 1684 4 4 171900 1554 3 4 162800 1521 3 3 144900 Copy Data Step 2 of 2: Determine if a statistically significant linear relationship exists between the independent and dependent variables at the 0.01 level of significance. If the relationship is statistically significant, identify the multiple regression equation that best fits the data, rounding the answers to three decimal places. Otherwise,…The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1) is the square footage, the second independent variable (x2) is the number of bedrooms, and the third independent variable (x3) is the age of the house. Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 2756 4 14 310300 2721 4 12 291500 2666 4 8 281100 2102 4 7 265600 1880 3 7 237500 1829 3 6 184600 1599 3 4 160800 1422 3 3 132600 1199 3 3 130500 Step 1 of 2: Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places. Copy Data
- Nadya is worried about poor people disproportionately exposed to pollution. She suggests the model where pollution in the area is regressed on average housing price in that area, and the number of pro-environmental voters in the area. She also knows that housing price in the area depends on pollution in the area, and the number of good schools in this area. Assuming that all the variables are significant and there are no other omitted variables affecting the dependent variables, can Nadya use Indirect Least Squares in this setting? O True O FalseAn example of the interaction term between two independent, continuous variables is: a. Yi = B0 + B1Xi+ B2DI + B3(Xi× Di) + ui. b. Yi = BO + B1X1¡+ B2X21+ ui. c. Yi = B0 + B1D1¡+ B2D2I+ B3 (D1i× D2i) + ui. d. Yi = B0 + B1X1¡ + B2X21+ B3(X1i× D21) + ui. e.All of the above. f. None of the above.The following data was collected to explore how a student's age and GPA affect the number of parking tickets they receive in a given year. The dependent variable is the number of parking tickets, the first independent variable (1) is the student's age, and the second independent variable (x2) is the student's GPA. Effects on Number of Parking Tickets Age GPA Number of Tickets 17 2 1 17 2 2 18 2 4 20 2 5 20 3 5 22 3 6 233 22 3 6 3 7 25 4 7 Copy Data Step 2 of 2: Determine if a statistically significant linear relationship exists between the independent and dependent variables at the 0.01 level of significance. If the relationship is statistically significant, identify the multiple regression equation that best fits the data, rounding the answers to three decimal places. Otherwise, indicate that there is not enough evidence to show that the relationship is statistically significant. Answer How to enter your answer (opens in new window) Selecting a checkbox will replace the entered answer…