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Table 7.23 refers to applicants to graduate school at the University of California, Berkeley for the fall 1973 session. Admissions decisions are presented by gender of applicant, for the six largest graduate departments. Denote the three variables by A = whether admitted, G = gender, and D = department. Fit loglinear model (AD, AG, DG).
a. Report the estimated AG conditional odds ratio, and compare it with the AG marginal odds ratio. Why are they so different? b. Report G2 and df values, and comment on the quality of fit. Conduct a residual analysis. Describe the lack of fit.c. Deleting the data for Department 1, re-fit the model. Interpret. d. Deleting the data for Department 1 and treating A as the response variable, fit an equivalent logistic model for model (AD, AG, DG) in (c). Show how to use each model to obtain an odds ratio estimate of the effect of G on A,
Select male or female planners to answer the following questions: Compare how well the model explains the variation of income for your selected gender? What factors have the greatest effect of the income of planners of this gender
question 1using the telephone numbers listed in your local directory as your population randomly obtain 20 samples of
Determine the 95 percent confidence interval and the 95 percent prediction interval for the selling price of a home with 2,200 square feet.
BRIEF DESCRIPTION OF THE R CODES NEEDED TO IMPLETEMENT THE METHOD:1- bootstrap 2-cross-validation 3-subset selection methods 4-ridge regression
the standard deviation is defined to be the square root of the variance.1 explain why it is conventional to take the
construct charts for individuals using bothnbsptwo-period andnbspthree-period moving ranges for the following
Find the probability that the injured person is female. P( P( )=? E. Find the probability that the injured person is female and was hurt at work. P( P( )=? F.
for the z-score equation if given the standard deviation as well as n how do we know whether to make the standard
We don't actually need further calculations to compare the effects of the price partitions within regions; everything we need is in Table 1 and Table 2. Using those tables, identify a statis- tically significant difference among the means in the N..
Specify the probability distributions for each chance node, Draw a complete decision tree for GPC. Solve the decision tree using EMV. What should GPC do?
Length of smoking time was recorded for each. Mean was =140 hours. Suppose = 8 hours. Determine 95% confidence interval for mean amount of time grocery-store ham is smoked.
The purpose of the study is to predict the GPA scores of 2nd year graduate students at hofstra university. The survey has been conducted from the 15 2nd year graduate students. The data set consists of six variables namely ‘Individual responses'
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