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 3, Problem 3E
a.
Explanation of Solution
Predictors
- The least square line is given by
- For males,
- And for females,
b.
Explanation of Solution
Salary prediction
- It suffices to plug in the given values in the least square line for females and obtains
c.
Explanation of Solution
Coefficient
- It is false.
- This is because to verify if the GPA/IQ has an impact on the quality of the model we need to test ...
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Students have asked these similar questions
Suppose we have five predictors:
• X1= GPA,
• X2= IQ.
• X3 = Gender (1 for Female and 0 for Male),
X4 = Interaction between GPA and IQ, and
• X5 = Interaction between GPA and Gender.
The response is starting salary after graduation (in thousands of dollars). Suppose
least squares has been used to fit the model, and got
Bo = 50, B1 = 20, B2 = 0.07, B3 = 35, B4 = 0.01, and B5
-10
Predict the salary of a male with GPA of 3 and IQ of 90. Enter just the number
rounded to 2 decimals (e.g., 174.35).
Electronic Spreadsheet Applications
Compare What-If Analysis using Trial and Error and Goal Seek to the given scenario:
Let's say a student is enrolled in an online class at a learning institution for a semester. His overall average grade stands at 43% in the course (Term Grade is 45%, Midterm Grade is 65%, Class Participation is 62% and Final Exam is 0%). Unfortunately, he missed his Final Exam and was given 0%. However, he has the opportunity to redo his Final Exam and needs at least an overall average of 60% to pass the course. How can you use Trial and Error and Goal Seek to find out what is the lowest grade he needs on the Final Exam to pass the class? Which method worked best for you and why?
Medical records show a sample population of 1000 people, of those 1000 people, 98% do not have a terminal illness and 2% do have a terminal illness. A Health Insurance company would like try out a new cheaper test for terminal illness. Their results show that 98% of the people that do have a terminal illness test positive, while 1% of the people who do not have a terminal illness test positive for one. A corporation known as Ken’s Kids is concerned about patients that are slipping through the cracks with this new medical testing. If the new medical testing is adopted, what % of the people will be misdiagnosed as not having a terminal illness, but really have one? Assuming a population of 200 million people, how many people that have a terminal illness, given this new testing will never know that they do? (Please show all work , and have a legend for symbols).
Chapter 3 Solutions
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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