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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.
Types of business forecasting are generally as follows: 1. Sales and Demand forecasts 2. Porduction forecasts. 3. Cost Forecasts 4. Financi
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a) What is meant by secular trend? Discuss any two methods of isolating trend values in a time series.
what the purpose we use it
1) Suppose you want to test a hypothesis that two treatments, A and B, are equivalent against the alternative that the response for A tend to be larger than those of B. You plan to
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 t
In recent years a number of calculators are available for doing statistical calculations over and above the usual addition, subtraction, multiplication and division. The fx-82 mode
Test for Equality of Proportions For example, we may want to test whether the percentage of smokers (p 1 ) among the males equals the percentage of female smokers (p 2 ). W
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Chi-square analysis can be used with both Goodness-of-Fit Tests and with Tests for Independence. There are specific instances when each test should be used based on the information
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