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For the following questions we are interested in a comparison of the 16 years education vs. > 16 years. (Recall we did the analysis on the log scale, so these are actual means on the log scale, so use the notation μlog1 . You do not have to back transform anything for this assignment).
1. For the comparison of 16 years education vs. > 16 years, write out the linear combination of means ( ) we are interested in and the estimator (g) Use all five groups in notation to explicitly show all work.
2. What are the coefficients of the linear combination in (1)? (i.e. What are the C's)
3. Obtain an estimate of the linear combination using the table of group averages (on the log scale).
A. Do the correlation matrix table. B. Which variable (s) has the largest correlation coeffieient which is not a perfect correlation? C. Which variable (s) has the s
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Hi There, I have a question regarding R, and I am wondering if anyone can help me. Here is a code that I would like to understand: squareFunc g f(x)^2 } return(g) } sin
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For the data analysis project, you will address some questions that interest you with the statistical methodology we are learning in class. You choose the questions; you decide h
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