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- Which of the following is true of heteroskedasticity? a) The R-squared statistic is affected by the presence of heteroskedasticity b) Heteroskedasticty causes inconsistency in the Ordinary Least Squares estimators c) The OLS estimators are not the best linear unbiased estimators if heteroskedasticity is present d) It is not possible to obtain F statistics that are robust to heteroskedasticity of an unknown formHow 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. thanksSuppose we use the linear probability model to estimate the effect of household income on the willingness to avail a loan product. Given a regression equation: Willingness = 22.34 -0.04HouseholdIncome, with HouseholdIncome measured in hundreds of pesos. How is -0.04 interpreted?
- 70. The sources of auto correlation among the following are 1. omitted explanatory variables. 2. interpolation in the statistical observation. 3. mis-specification of the true random term 'v'. 4. economic variables to move together over time. Codes (a) 1 and 2 (c) 1,3 and 4 (b) 1, 2 and 3 (d) All of these.Explain what multicollinearity . What are the main problems that multicollinearity creates for OLS estimation results ? Give two ways to detect multicollinearity problem and the hypothesis that are tested ?Without running any additional tests, what can you say about the joint significance of all independent variables in the model? Which statistic(s) helps you to answer this question?
- With Panel Data, if we assume that the individual effects vi are not correlated with the regressors Xit (i.e. E(vi|Xit) = 0), which one of the following statements is correct: The Fixed Effects estimator is not consistent. Both the OLS and the Random Effects estimators are not consistent. The OLS estimator is not consistent, but the Random Effects estimator is consistent. The OLS and the Random Effects estimator are consistent. All of the above. None of the aboveI dont understand why my question is being rejected so i'll resend this one. The data is attached in the image. Please help me with these questions. Thank you in advanced!! a. How many observations are included in the data? Is the data balanced?b. Is the above result estimated from the fixed effects model or the random effects model?c. Explain the meaning of the estimate coefficient of the variable ???Tendency of measuring correlation of two variables is classified as A. tendency coefficient B. variable coefficient C. correlation coefficient D. double coefficient
- Explain whether the empirical evidence supports the claim that “investors are solely concerned with mean and variance”If we run a regression where y (bankruptcy) = f (factors potentially predicting bankruptcy), what is the dependent variable?Determine the share (proportion) of person trips by each of two modes (Private auto and mass transit) using the multinomial logit model and given and following information