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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.
Standard Deviation The concept of standard deviation was first introduced by Karl Pearson in 1893. The standard deviation is the most important and the popular measure of disp
In PCA the eigknvalues must ultimately account for all of the variance. There is no probability,'no hypothesis, no test because strictly speaking PCA is not a statistical procedure
Calculation of Degrees of Freedom First we look at how to calculate the number of DOF for the numerator. In the numerator since we calculate the variance from the sample means,
Of the 6,325 kindergarten students who participated in the study, almost half or 3,052 were eligible for a free lunch program. The categorical variable sesk (1 == free lunch, 2 = n
1. Assume the random vector (Trunk Space, Length, Turning diameter) of Japanese car is normally distributed and the unbiased estimators for its mean and variance are the truth. For
Circles or Pie Diagram: Circles or pie diagrams are alternative to squares. These are used for the same purpose i.e. when the values are differing widely in their magnitude
Assumptions in ANOVA The various populations from which the samples are drawn should be normal and have the same variance. The requirement of normality can be discarded if t
i need to solve couple questions on a data set ?
how to find mse from ssr table not the anova table
f(x,y)=c(6-x-y) ,o find P(X+Y
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