An introduction to statistical learning: with applications in R
13th Edition
ISBN: 9781461471387
Author: James, Gareth, Witten, Daniela, Hastie, Trevor, TIBSHIRANI, Robert
Publisher: MPS (CC)
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Expert Solution & Answer
Chapter 2, Problem 9E
a.
Explanation of Solution
Predictors
- Name is qualitative, the rest are quantitative.
- However, looking at summary(), it is notic...
b.
Explanation of Solution
Range of predictor
- The range of each quantitative pred...
c.
Explanation of Solution
Mean and standard deviation of predictor
- Using signif() function, it can be round to two significant digits...
d.
Explanation of Solution
Range,median and standard deviation of predictor
- Using round() function, it rounds to two decimal places rather than two significant digits...
e.
Explanation of Solution
Simple linear regression
- It is easy to see that if xi is replac...
f.
Explanation of Solution
Predictors
- After plotting predictors graphically, it will be
library(pheatmap)
pheatmap(t(scale(as...
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Draw a QQ (quantile-quantile) plot for the built-in data set, islands, to assess the normality of the observations. Is the data set well-modeled by a normal distribution?
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Model
m1
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Answer:
Using Matlab, please provide the script code necessary to find the result:
By simulation, generate 10000 Random Samples (size n = 1) from an Exponential Distribution with µ = 10.
Generate a histogram of the data and label it “n = 1”. Observe the shape of the histogram, which will be skewed right. Include the histogram in your report along with the mean and standard deviation of this sample of 10000 data points.
Chapter 2 Solutions
An introduction to statistical learning: with applications in R
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