An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
13th Edition
ISBN: 9781461471370
Author: Gareth James
Publisher: SPRINGER NATURE CUSTOMER SERVICE
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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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We created some models for a dataset and, for each model we computed its R2
score. The results are presented in the table below:
Model
m1
m2
m3
m4
m5
R2
0.85
0.76
0.87
0.68
0.79
What model should we use from the ones presented in the table? Justify your
answer.
Answer:
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?
If we add more independent variables into the model:
A.
The adjusted R2 value will increase.
B.
The R2 value will increase.
C.
The R2 value will decrease if the variables we are adding into the model should not be there.
D.
The R2 will be biased.
Chapter 2 Solutions
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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