In ongoing economic analyses, the U.S. federal government compares per capita incomes not only among different states but also for the san state at different times. Typically, what the federal government finds is that "poor" states tend to stay poor and "wealthy" states tend to stay wealthy. Would we have been able to predict the 1999 per capita income for a sta (denoted by ») from its 1980 per capita income (denoted by x)? The following bivariate data give the per capita income (in thousands of dollars) for a sample of fourteen states in the years 1980 and 1999 (source U.S. Bureau of Economic Analysis, Survey of Current Business, May 200 The data are plotted in the scatter plot in Figure 1, and the least- squares regression line is drawn. The equation for this line is -3.09 + 2.47 1980 per capita 1999 per capita income, x income, y (in $1000s) (in $1000s) Vermont Hawali Missouri 8.7 25.9 11.5 27.8 9.4 26.2 Nebraska 9.3 27.4 Kansas North Dakota Delaware 10.0 26.6 8.1 23.5 2 10.8 30.7 South Carolina New Jersey 7.8 23.5 11.8 36.1 224 Utah 8.5 23.4 Arizona Montana 9.6 25.3 9.1 22.3 Maine 8.4 25.0 Figure 1 Ilinois 11.1 31.3 Send data to Excel Based on the above information, answer the following: 1. Fill in the blank: For these data, 1999 per capita incomes that are greater than the mean of the 1999 per capita incomes tend to be Choose one paired with 1980 per capita incomes that are 1980 per capita incomes. the mean of the 2. Fil in the blank: According to the regression equation, for an increase of one thousand dollars in 1980 per capita income, there is a Choose one corresponding of 2.47 thousand dollars in 1999 per capita income. 3. From the regression equation, what is the predicted 1999 per capita income (in thousands of dollars) when the 1980 per capita income is 10.2 thousand dollars? (Round your answer to at least one decimal place.) 28.284 4. From the regression equation, what is the predicted 1999 per capita income (in thousands of dollars) when the 1980 per capita income is 10.8 thousand dollars? (Round your answer to at least one decimal place.) 28.284 Explanation Check

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Topic Video
Question
1:26
AA
www-awn.aleks.com
O REGRESSION AND CORRELATION
Predictions from the least-squares.
Shasia v
In ongoing economic analyses, the U.S. federal government compares
per capita incomes not only among different states but also for the same
state at different times. Typically, what the federal government finds is
that "poor" states tend to stay poor and "wealthy" states tend to stay
wealthy.
Would we have been able to predict the 1999 per capita income for a state
(denoted by y) from its 1980 per capita income (denoted by x)? The
following bivariate data give the per capita income (in thousands of
dollars) for a sample of fourteen states in the years 1980 and 1999 (source
U.S. Bureau of Economic Analysis, Survey of Current Business, May 2000).
The data are plotted in the scatter plot in Figure 1, and the least-
squares regression line is drawn. The equation for this line is î=3.09 + 2.47x.
1980 per capita 1999 per capita
income, x
income, y
(in $1000s)
(in $1000s)
Vermont
8.7
25.9
Hawai
11.5
27.8
Missouri
9.4
26.2
34
Nebraska
9.3
27.4
32
Kansas
North Dakota
10.0
26.6
8.1
23.5
28
.
Delaware
South Carolina
10.8
30.7
26
7.8
23.5
24
New Jersey
11.8
36.1
Utah
8.5
23.4
Arizona
9.6
25.3
Montana
9.1
22.3
Maine
8.4
25.0
Figure 1
Illinois
11.1
31.3
Send data to Excel
l
Based on the above information, answer the following:
1. Fill in the blank: For these data, 1999 per capita incomes that are
greater than the mean of the 1999 per capita incomes tend to be
Choose one
paired with 1980 per capita incomes that are
1980 per capita incomes.
the mean of the
2. Fill in the blank: According to the regression equation, for an
increase of one thousand dollars in 1980 per capita income, there is a
Choose one
corresponding of 2.47 thousand dollars in 1999 per capita
income.
3. From the regression equation, what is the predicted 1999 per
capita income (in thousands of dollars) when the 1980 per capita
28.284
income is 10.2 thousand dollars? (Round your answer to at least one
decimal place.)
4. From the regression equation, what is the predicted 1999 per
capita income (in thousands of dollars) when the 1980 per capita
28.284
income is 10.8 thousand dollars? (Round your answer to at least one
decimal place.)
?
Explanation
Check
Transcribed Image Text:1:26 AA www-awn.aleks.com O REGRESSION AND CORRELATION Predictions from the least-squares. Shasia v In ongoing economic analyses, the U.S. federal government compares per capita incomes not only among different states but also for the same state at different times. Typically, what the federal government finds is that "poor" states tend to stay poor and "wealthy" states tend to stay wealthy. Would we have been able to predict the 1999 per capita income for a state (denoted by y) from its 1980 per capita income (denoted by x)? The following bivariate data give the per capita income (in thousands of dollars) for a sample of fourteen states in the years 1980 and 1999 (source U.S. Bureau of Economic Analysis, Survey of Current Business, May 2000). The data are plotted in the scatter plot in Figure 1, and the least- squares regression line is drawn. The equation for this line is î=3.09 + 2.47x. 1980 per capita 1999 per capita income, x income, y (in $1000s) (in $1000s) Vermont 8.7 25.9 Hawai 11.5 27.8 Missouri 9.4 26.2 34 Nebraska 9.3 27.4 32 Kansas North Dakota 10.0 26.6 8.1 23.5 28 . Delaware South Carolina 10.8 30.7 26 7.8 23.5 24 New Jersey 11.8 36.1 Utah 8.5 23.4 Arizona 9.6 25.3 Montana 9.1 22.3 Maine 8.4 25.0 Figure 1 Illinois 11.1 31.3 Send data to Excel l Based on the above information, answer the following: 1. Fill in the blank: For these data, 1999 per capita incomes that are greater than the mean of the 1999 per capita incomes tend to be Choose one paired with 1980 per capita incomes that are 1980 per capita incomes. the mean of the 2. Fill in the blank: According to the regression equation, for an increase of one thousand dollars in 1980 per capita income, there is a Choose one corresponding of 2.47 thousand dollars in 1999 per capita income. 3. From the regression equation, what is the predicted 1999 per capita income (in thousands of dollars) when the 1980 per capita 28.284 income is 10.2 thousand dollars? (Round your answer to at least one decimal place.) 4. From the regression equation, what is the predicted 1999 per capita income (in thousands of dollars) when the 1980 per capita 28.284 income is 10.8 thousand dollars? (Round your answer to at least one decimal place.) ? Explanation Check
4. From the regression equation, what is the predicted 1999 per
capita income (in thousands of dollars) when the 1980 per capita
income is 10.8 thousand dollars? (Round your answer to at least one
decimal place.)
Transcribed Image Text:4. From the regression equation, what is the predicted 1999 per capita income (in thousands of dollars) when the 1980 per capita income is 10.8 thousand dollars? (Round your answer to at least one decimal place.)
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Hypothesis Tests and Confidence Intervals for Proportions
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman