1. The following data records cigarette smoking and death rates due to leukemia in 14 states. We want to see if there are relationships between the number of cigarettes smoked and death due to leukemia. Deaths per year per 100,000 people State Cigarettes per person Leukemia California 2860 7.06 Idaho 2010 6.62 Illinois 2791 7.27 Indiana 2618 7.00 Iowa 2212 7.69
1. The following data records cigarette smoking and death rates due to leukemia in 14 states. We want to see if there are relationships between the number of cigarettes smoked and death due to leukemia. Deaths per year per 100,000 people State Cigarettes per person Leukemia California 2860 7.06 Idaho 2010 6.62 Illinois 2791 7.27 Indiana 2618 7.00 Iowa 2212 7.69
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Make a spreadsheet on excel and show the procedure of every step mentioned in the images.

Transcribed Image Text:1. The following data records cigarette smoking and death rates due to leukemia in 14 states. We
want to see if there are relationships between the number of cigarettes smoked and death due to
leukemia.
Deaths per year per 100,000 people
State
Cigarettes per person
Leukemia
California
2860
7.06
Idaho
2010
6.62
Illinois
2791
7.27
Indiana
2618
7.00
Iowa
2212
7.69
Kansas
2184
7.42
Kentucky
Massachusetts
2344
6.41
2692
6.89
Minnesota
2206
8.28
New York
2914
7.23
Alaska
3034
4.90
Nevada
4240
6.67
Utah
1400
6.71
Texas
2257
7.02
Conduct the follow analysis for cigarettes vs. leukemia.
a) Plot the scatter diagram.
b) Find m, b, and the linear regression line and add it to the graph.
c) Find the coefficient of correlation between cigarettes and leukemia. Is there a strong linear
correlation? (Write your answer in the spreadsheet.)
d) Explore better models: find the exponential, quadratic and cubic models. Adjust the precision of
the formulas if needed. Choose reasonable number of significant figures to show in the results.
e) Find the sum of the squared residuals for each estimate, including the linear model. Which is the
best fit? Why? (Write your answers in the spreadsheet.)
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