Directions: Construct a Regression Model for the following data. Years (after 2000) Dollars 9 8175 10 8428 12 8996 13 9255 U.S. Per Capita Health Care Expenditures 1. State your regression model (least-squares line). y 2. Use your model to predict the per capita health care expenditures for the year 2015. 0 = y dollars 3. Use your model to predict when per capita health care expenditures will reach $13, 000. When During year

Calculus: Early Transcendentals
8th Edition
ISBN:9781285741550
Author:James Stewart
Publisher:James Stewart
Chapter1: Functions And Models
Section: Chapter Questions
Problem 1RCC: (a) What is a function? What are its domain and range? (b) What is the graph of a function? (c) How...
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Directions: Construct a Regression Model for the following
data.
Years (after 2000) Dollars
9
8175
10
8428
12
8996
13
9255
U.S. Per Capita Health
Care Expenditures
1. State your regression model (least-squares line).
Y
y
=
2. Use your model to predict the per capita health care
expenditures for the year 2015.
dollars
3. Use your model to predict when per capita health care
expenditures will reach $13,000.
When x
During year
Rounding: If you do round the numbers in your work, make
sure you do it during your last step.
Transcribed Image Text:Directions: Construct a Regression Model for the following data. Years (after 2000) Dollars 9 8175 10 8428 12 8996 13 9255 U.S. Per Capita Health Care Expenditures 1. State your regression model (least-squares line). Y y = 2. Use your model to predict the per capita health care expenditures for the year 2015. dollars 3. Use your model to predict when per capita health care expenditures will reach $13,000. When x During year Rounding: If you do round the numbers in your work, make sure you do it during your last step.
Entered
360.362*x+4839.61
10245.039
13000
Answer Preview
360.362x + 4839.61
Batte
10245.039
A
23
13000
Result
incorrect
incorrect
incorrect
incorrect
Transcribed Image Text:Entered 360.362*x+4839.61 10245.039 13000 Answer Preview 360.362x + 4839.61 Batte 10245.039 A 23 13000 Result incorrect incorrect incorrect incorrect
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