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data: https://people.stat.sc.edu/habing/courses/530/pol.txt please use R 1) For each of the following, one of the fifteen variables as an example for each of the following: approximately

data: https://people.stat.sc.edu/habing/courses/530/pol.txt

please use R

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1) For each of the following, one of the fifteen variables as an example for each of the following: approximately normally distributed, skewed right, heavy tailed, and light tailed. Provide an appropriate statistic or graph, with sentence or two justification, to explain each choice. 2) If possible, find a set of three variables that are multivariate normal. If you can't, find a pair that are bivariate normal. Justify your answer. 3) Construct a plot that seems to support that WEIGHT and CHNUP are negatively related. Construct an alternate plot that supports that this apparent relationship may be largely due to FAT. For each, briefly describe how to read and interpret the plot. 4) Many medical studies classify the individuals into different height categories instead of treating height as a continuous variable. The command: ht

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