1. Use the data given to solve the following problems. Savings needed for Health-Care Expenses During Retirement Age at Death Savings Needed 80 $219,000 85 $307,000 90 $409,000 95 $524,000 100 $656,000 Source: Employee Benefit Research Institute a.) Use a graphing calculator or Desmos to create a scatterplot of the data. Upload an image of that b.) Use the graphing utility's regression option to compare the following models: y=ab, y= a + blnx, y= ax+b, and y = axº. Submit a sketch or image of each. c.) Discuss how each of the regression curves in part b fit the data by looking at the correlation constant r.
1. Use the data given to solve the following problems. Savings needed for Health-Care Expenses During Retirement Age at Death Savings Needed 80 $219,000 85 $307,000 90 $409,000 95 $524,000 100 $656,000 Source: Employee Benefit Research Institute a.) Use a graphing calculator or Desmos to create a scatterplot of the data. Upload an image of that b.) Use the graphing utility's regression option to compare the following models: y=ab, y= a + blnx, y= ax+b, and y = axº. Submit a sketch or image of each. c.) Discuss how each of the regression curves in part b fit the data by looking at the correlation constant r.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Answer letter D of this problem. Use the link for reference.
https://www.bartleby.com/questions-and-answers/use-the-data-given-to-solve-the-following-problems.-savings-needed-for-health-care-expenses-during-r/bb9b5877-4060-4842-9d0d-d6cd31ed7389
Transcribed Image Text:1. Use the data given to solve the following problems.
Savings needed for Health-Care Expenses During Retirement
Age at Death
Savings Needed
80
$219,000
85
$307,000
90
$409,000
95
$524,000
100
$656,000
Source: Employee Benefit Research Institute
a.) Use a graphing calculator or Desmos to create a scatterplot of the data. Upload an
image of that
b.) Use the graphing utility's regression option to compare the following models: y=ab",
y= a + blnx, y= ax+b, and y = axb. Submit a sketch or image of each.
c.) Discuss how each of the regression curves in part b fit the data by looking at the
correlation constant r.
d.) Use the model (equation) with the best correlation constant, r from part c and predict
by which year the population will reach 315 million.
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