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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- what does MS stand for in analysis of variance?Analysis of variance for related samplesA climatologist is interested in comparing the frequency of cloud cover in Thunder Bay and Sudbury. Data is collected from 500 days chosen at random from Thunder Bay and 500 more from Sudbury, each indicating whether or not there was significant cloud cover on that day in that city. What is the best statistical method/test to determine if Thunder Bay and Sudbury have the same frequency of significant cloud cover? Regression Pooled Variance Estimate Two-Sample t test Difference in Proportions Chi Square
- Estimate can be used to identify two general features for each of the several variance estimates in ANOVA. What are these features?If I have a study where I am testing the relationship between abundances of zebras and gazelles, what kind of parametric statistical test would I use? Correlation Regression ANCOVA O ANOVAANOVA Involves "decomposition of variance-a fancy term that means we examine diferent sources of variabilty. Name and describe each of the sources of varlability used in an ANOVA and tell me which source of variability we always want to be largest and why.
- Last school year, the student body of a local university consisted of 35% freshmen, 25% sophomores, 24% juniors, and 16% seniors. A sample of 300 students taken from this year's student body was taken to determine if there had been a significant change in % of students for each classification for this year as compared to last year. This analysis is an example of a Regression O Goodness of Fit Analysis of Variance Test of IndependenceExplain the assumption of homogeneity of variance?It is common practice to compute an analysis of variance table in conjunction with an estimated multiple regression. Carefully explain what can be learned from such a table.