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: State DUIRate; = a} + BTreatment;t + yControl;t + Eit
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- In IS-MP model what variable is on horizontal axis? If IS-MP have different variable on horizontal axis how can we put these two curves into one diagram?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?The modern interpretation of regression says that regression... O A. studies the statistical dependence of a regressor on a regressand with the view of estimating the mean value of the former in terms of the fixed values of the latter. O B. studies the causal link between the dependent variable and independent variable (or variables). C. studies the statistical dependence of a regressand on a regressor (or regressors) with the view of estimating the precise relationship between variables in order to forecast changes in the relationship between the variables. O D. studies whether there is statistical independence of a dependent variable in relation to an independent variable with the view of estimating statistical dependence. E. studies the statistical dependence of an outcome variable on an exogenous variable (or variables) with the view of estimating the average response of the regressand for given values of predictor variables.
- 1.1 Which of the following is NOT a good reason for including a disturbance term in a regression equation?/ A. To allow for random influences on the dependent variable/ B. To allow for errors in the measurement of the dependent variable/ C. It captures omitted determinants of the dependent variable D. To allow for the non-zero mean of the dependent variable/ 1.2 Consider the equation Y = B1 + B2X2 + u. A null hypothesis of H0: B2 = 0 means that/ A. X2 has no effect on the expected value of Y / B. B2 has no effect on the expected value of Y/ C. X2 has no effect on the expected value of B2 / D. Y has no effect on the expected value of X2/ 1.3 The OLS residuals in the multiple regression model/ A. can be calculated by subtracting the fitted values from the actual values / B. are zero because the predicted values are another name for forecasted values / C. are typically the same as the population regression function errors / D. cannot be calculated because there…Given the following data X (consumers of teff) or popn 3 6 8 1 13 13 14 Y ( teff consumption) 8 6 10 12 12 14 20 year 2013 2014 2015 2016 2017 2018 2019 Estimate the regression equation, Y= a+bX, Where Y denotes demand for teff while X is consumers of teff (population) By assuming demand for teff is only affected by its consumers, find the amount demand for teff in the year 2022 if the populations (consumers of teff) are about 18 people? (Hint: use the least square method, parameter a and b can be estimated by solving the two linear equations) SY= na+ bSX SXY=aSX +b Where n is number of years. For example, Estimate the sales for 2012, 2015 and fit a linear regression equation and draw a trend line.ar X Sales (Y) XY X2 year X Sales (Y) XY X2 2002 1 22734 22734 1 2003 2 24731 49462 4 2004 3 31489 94467 9 2005 4 44685 178740 16 2006 5 55319…Refresh your Math & Graphing Skills SOP-A D For each of the following scenarios, indicate whether the relationship between the two variables is positive or negative, as well as which line on the previous graph has a slope that reflects this type of relationship. X-axis Hint: The X-axis and Y-axis on the graph are not labeled intentionally. You need to substitute the variables from each scenario for the horizontal and vertical axis. For example, in the first scenario, X-axis should be labeled The average grade received" and Y-axis should be labeled "The number of hours spent studying". Scenario As the number of hours spent studying rises, the average grade received rises. As the number of hours spent studying falis, the likelihood of getting an A falls. As the number of hours spent watching TV rises, the average grade received falls. True True or False: Line B has a slope of infinity. O False www Relationship Line Y
- A hypothesis is a statement that Identifies the connection Specifies the link between a dependent d. variable and two independent variables Draws the relationship between Correlates two variables between two dependent b. O C. and then reject them a. two independent variables variables3. The following model is a simplified version of the multiple regression model used by BEST Econometrics Group to study the trade off between time spent sleeping and working to look at other factors affecting sleep: sleep %3D Bo + Bitotwrk + Bzeduис + Взаде + m, where sleep and totwork (total work) are measure in minutes per week and educ and age are measured in years. (i) If adults trade sleep for work, what is the sign of B1? (ii) What signs do you think B2 and ß3 will have? (iii) Using the data in SLEEP75.RAW, the estimated equation is sleep = 3,638. 25-. 148totwrk – 11.13educ – 2. 20age + µi If someone works five hours per week, by how manu minutes is sleep predicted to fall? Is this a large tradeoff? (iv) Discuss the sign and magnitude of the estimated coefficient on educ. (v) Would you say totwrk, educ, and age explain much of the variation in sleep? What other factors might affect the time spent sleeping? Are these likely to be correlated with totwrk?What are the Least Squares Assumptions? also explain the usage of these Assumptions?
- 10. Suppose in our model, lifespans increased due to a productivity in- crease. What would likely happen to hours worked and leisure over the lifetime of a represent ative consumer. (a) Let's consider one of two common ways of implementing this change. Suppose the increase raised both lifespans and the amount of years consumers are healthy enough to work by the same amount, how would that likely affect the measured numbered of hours work by prime aged adults within a given year? What would likely hap- pen to the retirement age? (b) Let's consider the other way to implement it. Suppose the change in lifetimes came about changes in technology that delayed death but did not extend the amount of years consumers are healthy enough to work. What would likely happen to hours worked within a year? What would happen to the retirement age? (c) In the US, the generalized stylized fact is that the actual age of retirement is not increasing. Nor are hours worked per week. Why are both of the above…Zeitler’s Department Stores sells its products online and through traditional brick-andmortarstores. The following parallel coordinates plot displays data from a sample of20 customers who purchased clothing from Zeitler’s either online or in-store. The datainclude variables for the customer’s age, annual income, and the distance from the customer’shome to the nearest Zeitler’s store. According to the parallel coordinates plot, howare online customers differentiated from in-store customers?Which of the following statements are true about correlation? O A. The correlation describes the tendency of two data series to move together. B. A negative correlation indicates that two data series do not covary with each other. C. The correlation coefficient mesuares the degree of correlation between the two data series. D. A strong positive correlation or strong negative correlation provides evidence of covariation of two data series. O E. A positive correlation indicates that two data series covary with each other.