Average Income 19320 17554 17310 15589 15266 15078 12749 9351 8866 4952 3627 3412 2554 2296 1871 1809 1710 1621 1345 1282 1171 1109 1091 810 585 Average Life Expectancy 76.25 75.3 78.65 75.51 76.19 76.36 73.73 73.9 76.38 71.16 64.19 74.35 57.53 56.64 62.71 57.34 54.98 46.93 52.24 53.44 60.99 57.21 49.99 45.91 60.03 In this practice assignment, you will use spreadsheet regression or the online regression calculator at http://www.alcula.com/calculators/statistics/linear- regression to examine the relationship between average annual income and average life expectancy in a country. This relationship is called the Preston curve. Open QR_8D_Spreadsheet_Practice, which gives the average annual income and average life expectancy in 25 low-income countries. Each row corresponds to a country. Use technology (spreadsheet regression or the Alcula website given above) to create a scatterplot and regression equation for the Preston curve data. Round all answer values to the nearest ten thousandth (the fourth decimal place). Part A: Slope = Part B: Choose the best interpretation of the slope. Average Life Expectancy increases 0.0014 years for every additional dollar of average income. Making more money causes you to live longer. O Living longer causes you to make more money. O Average Income increases 14 cents for every additional year that you live.
Average Income 19320 17554 17310 15589 15266 15078 12749 9351 8866 4952 3627 3412 2554 2296 1871 1809 1710 1621 1345 1282 1171 1109 1091 810 585 Average Life Expectancy 76.25 75.3 78.65 75.51 76.19 76.36 73.73 73.9 76.38 71.16 64.19 74.35 57.53 56.64 62.71 57.34 54.98 46.93 52.24 53.44 60.99 57.21 49.99 45.91 60.03 In this practice assignment, you will use spreadsheet regression or the online regression calculator at http://www.alcula.com/calculators/statistics/linear- regression to examine the relationship between average annual income and average life expectancy in a country. This relationship is called the Preston curve. Open QR_8D_Spreadsheet_Practice, which gives the average annual income and average life expectancy in 25 low-income countries. Each row corresponds to a country. Use technology (spreadsheet regression or the Alcula website given above) to create a scatterplot and regression equation for the Preston curve data. Round all answer values to the nearest ten thousandth (the fourth decimal place). Part A: Slope = Part B: Choose the best interpretation of the slope. Average Life Expectancy increases 0.0014 years for every additional dollar of average income. Making more money causes you to live longer. O Living longer causes you to make more money. O Average Income increases 14 cents for every additional year that you live.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
Transcribed Image Text:Average Income
19320
17554
17310
15589
15266
15078
12749
9351
8866
4952
3627
3412
2554
2296
1871
1809
1710
1621
1345
1282
1171
1109
1091
810
585
Average Life
Expectancy
76.25
75.3
78.65
75.51
76.19
76.36
73.73
73.9
76.38
71.16
64.19
74.35
57.53
56.64
62.71
57.34
54.98
46.93
52.24
53.44
60.99
57.21
49.99
45.91
60.03
In this practice assignment, you will use
spreadsheet regression or the online regression
calculator at
http://www.alcula.com/calculators/statistics/linear-
regression to examine the relationship
between average annual income and average
life expectancy in a country. This relationship is
called the Preston curve.
Open QR 8D Spreadsheet_Practice, which
gives the average annual income and average
life expectancy in 25 low-income countries.
Each row corresponds to a country.
Use technology (spreadsheet regression or the
Alcula website given above) to create a
scatterplot and regression equation for the
Preston curve data. Round all answer values to
the nearest ten thousandth (the fourth decimal
place).
Part A: Slope =
Part B: Choose the best interpretation of the
slope.
Average Life Expectancy increases 0.0014
years for every additional dollar of
average income.
O Making more money causes you to live
longer.
O Living longer causes you to make more
money.
O Average Income increases 14 cents for
every additional year that you live.
Transcribed Image Text:Part C: Determine the correlation coefficient.
Note that you may have to change your settings
if your technology did not already report this
value.
Correlation coefficient =
Part D: The coefficient of determination (R²) is
found by squaring the correlation coefficient (r).
The coefficient of determination =
Part E: Choose the best interpretation of the
coefficient of determination
O About 70% of the variation from the
predicted value for Average Income is due
to changes in Average Life Expectancy.
O Less than 1% of the variation from the
predicted value for Average Income is due
to changes in Average Life Expectancy.
O Less than 1% of the variation from the
predicted value for Average Life
Expectancy is due to changes in Average
Income.
About 70% of the variation from the
predicted value for Average Life
Expectancy is due to changes in Average
Income.
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