23. Which regressors has/have multicollinearity? a. x1 b. x2 c. x3 d.None
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23. Which regressors has/have multicollinearity?
a. x1
b. x2
c. x3
d.None
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- Glaucoma is an eye disease that is manifested by high intraocular pressure. The distribution of intraocular pressure (I0P) in the general population is approximately normal with an average of 15 mm Hg and a variance of 9 mm Hg. If the normal range of intraocular pressure is considered between 12 mm Hg and 20 mm Hg, What is the percentage of the general population that will be in the normal range? This question requires evidence of the procedure! A. 4% B. 2% C. 0.7938 D. Other value (I've attached) E. 85% F. 1.67Scenario: Is there a relationship between worker type (X) and productivity (Y)? The researcher defined worker type (X) as blue or white collar, and productivity (Y) as "high" or "low". Question: What is the most appropriate statistical test to conduct given this scenario?A statistics professor takes a random sample of 25 students who have taken a special statistics class. He wants to test the null hypothesis that the grades of these students are, on average, less than or equal to those of the population of students who take the regular statistics test. The mean grade for the population is 75. The mean grade for the sample is 86 with a standard deviation of 10. Using a significance level of .05, test the null hypothesis.
- 1. Considering Earnings/Event as the dependent variable (outcome), perform the multiple linear regression using Excel with normal probability plot showing the linear trendlines. Explain the R2, F-stat (Anova) and the regression coefficients. 2. Write down the linear equation for Earnings/Event.Describe the important characteristics of the variance of a conditional distribution of an error term in a linear regression. What are the implicationsfor OLS estimation?ANOVA is based on an F-ratio that is calculated as the ratio of two variance estimates, the variance between groups and the variance within groups, but enables conclusions to be made about the means of the samples involved. What is the logic of that? I.e., explain the rationale that supports the use of variance estimates
- MEANS OF TWO SAMPLES (VARIANCES UNKNOWN) AND OBSERVED OBSERVATIONS Give the complete Test of HypothesisAssumption/s: One-way ANOVA can only be reliable if the data are normal Homoegeneity of variance is required for One-way ANOVA to be reliable. Provide proof/explanation.An instructor gives the same final exam every year. She knows that the μ = 79 but the population variance is unknown. She thinks that her current class is advanced, and will do better than past classes (have a higher mean). The class consists of 25 students, and their final exam class mean was 87 with a variance estimate of 400. Assume that the parametric assumptions are NOT violated. Did her class do statistically better than previous classes? Conduct an appropriate statistical test using α = .05. Write your answer using the 8 steps of hypothesis testing.