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.
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.
Algebra and Trigonometry (6th Edition)
6th Edition
ISBN:9780134463216
Author:Robert F. Blitzer
Publisher:Robert F. Blitzer
ChapterP: Prerequisites: Fundamental Concepts Of Algebra
Section: Chapter Questions
Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...
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Additional instructions : Include the steps on performing the graph thru the tool you use.
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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