Which of these statements is/are FALSE? Select all that apply.Hint: There are two statements that are false.Imperfect multicollinearity can make it difficult to distinguish theindividual effects on the dependent variable of one regressor fromthat of another regressor.OLS estimators cannot be computed in the presence of perfectmulticollinearity.In the presence of imperfect multicollinearity, the OLS estimatorswill be biased.Under imperfect multicollinearity, two or more regressors arehighly correlated.When two variables in a regression are highly correlated, then thecoefficients on at least one individual regressor will be impreciselyestimated.We can still compute the OLS estimators in the presence ofimperfect multicollinearity.The effect of imperfect multicollinearity is to increase the varianceof the OLS estimators.Imperfect multicollinearity increases the standard errors of theregression coefficients, and hence t- and F- tests are invalid.

This question examines statements related to multicollinearity and its impact on ordinary least…

Answered: Which of these statements is/are FALSE?…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The following output is from a multiple regression analysis that was run on the variables FEARDTH (fear of death) IMPORTRE (importance of religion), AVOIDDTH (avoidance of death), LAS (meaning in life), and MATRLSM (materialistic attitudes). In the regression analysis, FEARDTH is the criterion variable (Y) and IMPORTRE,AVOIDDTH, LAS, and MATRLSM are the predictors (Xs). The SPSS output is provided below, followed by a number of questions. Descriptive Statistics Mean Std. Deviation N feardth 27.0798 8.08365 163 importre 5.8282 2.46104 163 avoiddth 18.5460 6.97633 163 Las 70.1288 9.89460 163 matrlsm 53.5552 10.21860 163 Model Variables Entered Variables Removed Method 1 matrlsm, avoiddth, importre, lasa . Enter a. All requested variables entered. b. Dependent Variable: feardth Model Summary Model R R Square Adjusted R Square…
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A set of solar batteries is used in a research satellite. The satellite can run on only one battery, but it runs best if more than one battery is used. The variance o of lifetimes of these batteries affects the useful lifetime of the satellite before it goes dead. If the variance is too small, all the batteries will tend to die at once. Why? If the variance is too large, the batteries are simply not dependable. Why? Engineers have determined that a variance of o2 23 months (squared) is most desirable for these batteries. A random sample of 30 batteries gave a sample variance of 15.4 months (squared). Using a 0.05 level of significance, test the claim that o? = 23 against the claim that o is different from 23. (f) Find a 90% confidence interval for the population variance. (Round your answers to two decimal places.) lower limit upper limit (g) Find a 90% confidence interval for the population standard deviation. (Round your answers to two decimal places.) lower limit months upper limit…
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It is hypothesized that the total sales of a corporation should vary more in an industry with active price competition than in one with duopoly and tacit collusion. In a study of the merchant ship production industry it was found that in 4 years of active price competition, the variance of company A’s total sales was 114.09. In the following 7 years, during which there was duopoly and tacit collusion, this variance was 16.08. Assume that the data can be regarded as an independent random sample from two normal distributions. 1. Test, at the 5% level, the null hypothesis that the two population variances are equal against the alternative that they are not equal.
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An experimental study examined whether method of daily announcement affects worker productivity. A factory with two facilities with similar worker productivity percentages participated in the study. One facility delivered daily announcements all day on a screen located in the break room. Worker productivity percentages were compared between the two facilities. What is the independent variable? what is the dependent variable? What is the null hypothesis? what is the alternative/research hypothesis? If they reported t(25=1.95 and it is two-tailed, using the critical value, what is tcv? what should the researcher conclude about the null hypothesis? (reject/fail to reject)
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