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The data le for this assignment is brain-body-wts.txt, which lists the averages brain weights (gm) and body weights (kg) for a number of animal species. Your task is to t an appropriate simple linear regression model which will predict average brain weight, given average body weight, for an- other animal species. The SLR model may be tted to any transformed version of brain and body weights, and you should use some of the diagnostic and/or remedial methods discussed in class to guide you. Please include your R script and R output, along with a simple description of the method you chose to use.
Note that
(a) this is an 'open-ended assignment, with no particular single 'correct' solution; and
(b) it is a big mistake to include excess, unnecessary output in your submission. With this in mind, please restrict your submission to a maximum of 3 A4 pages. See guideline at the end of the assignment.
We are interested in assessing the effects of temperature (low, medium, and high) and technical configuration on the amount of waste output for a manufacturing plant. Suppose that
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The State Department of Taxation wishes to investigate the effect of experience, x, on the amount of time, y, required to fill out Form ST 1040AVG, the state income-averaging form.
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.1 Modern hotels and certain establishments make use of an electronic door lock system. To open a door an electronic card is inserted into a slot. A green light indicates that the
how can i use continuous frailty in multi state models?
Correspondence Analysis (CA) is a generalization of PCA to contingency tables. The factors of correspondence analysis give an orthogonal decomposi:ion of the Chi- square associated
The calculations of arithmetic mean may be simple and foolproof, but the application of the result may not be so foolproof. An arithmetic mean may not merely lack
You have an assembly line which produces 1L bottles of seltzer with a standard deviation of 0.05L. • Assuming the distribution of volume is normal, what is the chance any single
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