Discuss how one might test for cointegration between variables using the Engle-Granger (EG) 2-step approach and discuss the drawbacks of EG’s approach
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Discuss how one might test for cointegration between variables using the Engle-Granger (EG) 2-step approach and discuss the drawbacks of EG’s approach.
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- Pls help What would the correlogram (ac/pac) look like for both, (i) the ARMA model, and, (ii) the ARIMA model?A study to determine the correlation between bankdeposits and consumer price indices in Birmingham, Alabama,revealed the following (which was based on n = 5 years of da ta):• LX = 15• Lx2 = 55• Lxy = 70• Ly = 20• L/ = 130a) What is the equation of the least-squares regression line?b) Find the coefficient of correlation. What does it imply to you?c) What is the standard error of the estimate?Discuss what we mean by multipole moments.
- The following multiple regression printout can be used to predict a person's height (in inches) given his or her shoe size and gender, where gender = 1 for males and 0 for females. Regression Analysis: Height Versus Shoe Size, Gender Coefficients Term Coef Constant 55.28 SE Coef 1.04 T-Value P-Value Shoe Size 0.105 Gender 0.268 0.12 0.489 53.1 0.875 0.000 0.000 0.548 0.000 (a) The dependent variable in this regression is which of the following? height gender shoe size constant (b) What is the regression coefficient of shoe size? (c) What is the regression coefficient of gender?Based on the following regression ANOVA table, what is R2? Source df SS MS F Regression 4 1793.2356 448.3089 7.4854 Residual 45 2695.0996 59.8911 Total 49 4488.3352 0.6005 0.3995 0.8807 0.7230Why is the correct identification of the measurement scale of the variables important in Business Research?
- what is standard deviation and how do you find it ?8. assignment variable at which the treatment status does NOT change In Regression Discontinuity framework, the cutoff is defined as the level of the True False 9. What regression equation do we use for regression discontinuity framework? a) Y = Bo + B1 T + B2Xu+ Ei b) Y = Bo + B,T+ B2C + ei c) Y, = Bo + B, T+ B2 (Xi-C) + ei d) Y, = Bo + B1T + B2 (Xu + C) + € 10. Regression Discontinuity Design accomplices apples-to-apples comparison by comparing individuals as far from the cutoff as possible. True FalseDescribe the process of minimization with simplex method?
- Refer to the following null hypothesis formulated by a restaurant manager who wanted to investigate the factors that encourage the customers to return to their restaurant in future. Identify which data analysis method is the most appropriate for the null hypothesis below. * "There is no relationship between Return in Future and Service Quality, Food Quality and Food Presentation". t-test one-way ANOVA correlation O multiple regressionBo Using data from 50 workers, a researcher estimates Wage = ẞe + B₁Education + B2Experience + B3Age + ε, where Wage is the hourly wage rate and Education, Experience, and Age are the years of higher education, the years of experience, and the age of the worker, respectively. A portion of the regression results is shown in the following table. Intercept Education Experience Age Coefficients Standard Error t Stat p-Value 7.17 4.26 1.68 0.0991 1.81 0.35 5.17 0.0000 0.45 0.10 4.50 0.0000 -0.01 0.06 -0.17 0.8684 a-1. Interpret the point estimate for ẞ1. As Education increases by 1 year, Wage is predicted to increase by 1.81/hour. As Education increases by 1 year, Wage is predicted to increase by 0.45/hour. As Education increases by 1 year, Wage is predicted to increase by 1.81/hour, holding Age and Experience constant. As Education increases by 1 year, Wage is predicted to increase by 0.45/hour, holding Age and Experience constant. a-2. Interpret the point estimate for $2. As Experience…Study B: The decoy effect is the phenomenon that an additional but worse option can boost the appeal of an existing option. In order to get workers at food-processing factories in China to comply with hygiene standards (i.e., using hand sanitizer every hour), researchers manipulated whether there were additional options to the standard and convenient spray bottle provided to each employee. Workers in different rooms were randomly assigned to have just the standard spray bottle, or the standard spray bottle and an inconvenient squeeze bottle. Quality control personnel kept track of hand sanitizer use (weighing the bottles before and after each shift) and sanitary condition (sample wipes assessing the number of bacteria on hands). Neither the employees or quality control personnel were aware of the experiment or its hypothesis. The researchers found that when a decoy was present, workers used more sanitizer and were more likely to pass hand sanitary tests. In this example, it was…