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- The following model can be used to study whether campaign expenditures affect election outcomes: vote A = Bo + Bilog(expendA) + B₂log (expendB) + 33prtystrA + u where vote is the percentage of the vote received by Candidate A, expendA and expendB are campaign expenditures by Candidates A and B, and prtystrA is a mea- sure of party strength for Candidate A (the percentage of the most recent presidential vote that went to A's party). 1. What is the interpretation of ₁? 2. In terms of the parameters, state the null hypothesis that a 1% increase in A's expenditures is offset by a 1% increase in B's expenditures. 3. Estimate the given model using the data in VOTE1.dta (from Wooldridge) and report the results in usual form. Do A's expenditures affect the outcome? What about B's expenditures? Can you use these results to test the hypothesis in part 2?Write first-order model relating E(y) to four quantitative independent variables.Provide an evaluation of the size of the explanatory variables’ coefficients and their statistical significancein Table 5.
- The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? Weight (lb) Highway (mpg) Which scatterplot below shows the data? O A. 40- 20+ 2000 5000 2855 3050 3810 3985 4250 2275 3525 33 32 27 24 22 39 28 Weight (lb) Q Q O B. 40 20+ 2000 AHH 5000 Weight (lb) Q Q Is there a linear relationship between weight and highway mileage? O A. No, there appears to be a relationship, but it is not linear. O B. Yes, as the weight increases the highway mileage decreases. O C. Yes, as the weight increases the highway mileage increases. OD. No there appears to be no relationshin C O C. Q 40- M Q 20++ 2000 5000 Weight (lb) Highway ( O D. Highway (mpg) 40- 20+ 2000 5000 Weight (lb) QPlease ASAP. Thankyou. QUESTION 24 A quality adjusted life year is defined as? A. Health adjusted life expectancy for men B. A measure of disease burden including both quality and the quantity of life lived C. Potential years of life lost for vulnerable populations D. Health related quality of life for women QUESTION The purpose of a model is to illustrate relations between economic variables.TrueFalseQuestion 10 A moderating variable influences the original relationship between one or more independent variables and a dependent variable. True False
- How would you describe a correlation of -1? Group of answer choices There is a perfect linear relationship between x and y. There is a strong positive relationship between x and y. There is no relationship between x and y. There is a weak negative relationship between x and y. thanksGiven the following data table: X Y 21 68 72 55 38 59 57 57 45 61 What is the correlation between X and Y? Include 3 decimal places in your answer.A potential customer has described the following scenario to you:We need to keep track of the data that our manufacturing firm needs to run smoothly.We make a number of products, each of which is manufactured by a different de-partment. Products are made up of a number of parts. Parts are bought fromsuppliers.You have been asked to perform a preliminary analysis of the scenario:a) Identify four sets of values from the scenario. b) Identify three relations from the scenario. c) Draw an entity-relationship diagram to visualise the sets and relations you have identi-fied. d) Use the relations you identified in part b) to define the following:i) A relation that records the parts that a department needs. ii) A relation that records the suppliers that a department deals with
- 3. Boyoung is writing a paper about the effect of Sunday liquor sales on drunk driving. She has panel data on which states allow liquor to be sold on Sunday in which years and wishes to estimate a difference-in-differences model. She writes the following regression equation: Year DUIRate;; = atate +a? + BTreatmentt +yControl;t + Eit i Which of the following changes does Boyoung need to make? a) She should include a constant in the regression equation. b) She should not include controls because they're already accounted for by fixed effects. c) She should include a time trend instead of time-fixed effects. d) None of the above are changes she needs to make.Given the scatter diagram in Figure 8-1, what is the MPC (your best estimate)? a. 1 b. 2/3 c. 1/2 d. 1/3 I know the answer of this question answer is 2/3 but can you please give the explanation how 2/3 is the answer of the problemAn increase in meat prices coincides with an increase in rainfall is an associative relationship the statement above is true/false?