Carbon dioxide is produced by burning fossil fuels such as oil and natural gas, and has been connected to global warming. The following output presents the average amounts (in metric tons) of carbon dioxide emissions for the years 1999-2006 per person in the United States and per person in the rest of the world in an effort to determine if non-US per person emissions can help predict US per person emissions. US 20.2 20 19.8 SUMMARY OUTPUT 19.6 19.4 Regression Statistics Multiple R R Square Adjusted R Square 0.51622776 19.2 0.2664911 19 0.2175905 18.8 Standard Error 0.29668345 Observations 17 18.6 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 3.9 ANOVA df ignificance F MS Regression 1 0.479683973 0.479684 5.44965 0.0338864 Residual 15 1.320316027 0.088021 Total 16 1.8 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 22.8013544 1.416019771 16.10243 7.1E-11 19.78318 25.819529 19.7831797 25.8195291 Non-US -0.95936795 0.410961292 -2.33445 0.033886 -1.8353112 -0.0834247 -1.8353112-0.08342469 What is the formula needed to predict US emissions in metric tons if the non-US emissions is 3.4? Oŷ = 22.8 – 0.96(3.4) y = 22.8 - 0.96(3.4) Oŷ = 22.8(3.4) - 0.96 O y = 22.8(3.4) – 0.96 State the correlation value that best respresents the plot presented. O0.516 O - 0.516 O-0.266 O0.266 Interpret the slope of the line. O For a 1 metric ton increase in US emissions, non-US emissions will, on average, increase by 22.8 metric tons. O For a 1 metric ton increase in non-US emissions, US emissions will, on average, decrease by 0.96 metric tons. |For a 1 metric ton increase in non-US emissions, US emissions will, on average, increase by 22.8 metric tons. For a 1 metric ton increase in US emissions, non-US emissions will, on average, decrease by 0.96 metric tons. OWe should not interpret the slope in this problem. Interpret the y - intercept of the line. 0, US emissions are 22.8 metric tons. 0, non-US emissions are - 0.96 metric tons. On average, when r = 0, US emissions are - 0.96 metric tons. On average, when a On average, when r = On average, when r = 0, non-US emissions are 22.8 metric tons. O We should not interpret the y- intercept in this problem.

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
Question
Carbon dioxide is produced by burning fossil fuels such as oil and natural gas, and has been connected to
global warming. The following output presents the average amounts (in metric tons) of carbon dioxide
emissions for the years 1999-2006 per person in the United States and per person in the rest of the world in an
effort to determine if non-US per person emissions can help predict US per person emissions.
US
20.2
20
19.8
SUMMARY OUTPUT
19.6
19.4
Regression Statistics
Multiple R
0.51622776
19.2
R Square
0.2664911
19
Adjusted R Square
Standard Error
0.2175905
18.8
0.29668345
Observations
17
18.6
3.1
3.2
3.3
3.4
3.5
3.6
3.7
3.8
39
ANOVA
df
MS
F
iignificance F
Regression
1
0.479683973 0.479684
5.44965 0.0338864
Residual
15
1.320316027 0.088021
Total
16
1.8
Coefficients Standard Error t Stat
P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept
22.8013544
1.416019771 16.10243
7.16-11
19.78318 25.819529 19.7831797 25.8195291
Non-US
-0.95936795
0.410961292 -2.33445 0.033886 -1.8353112 -0.0834247
-1.8353112 -0.08342469
What is the formula needed to predict US emissions in metric tons if the non-US emissions is 3.4?
ý = 22.8 – 0.96(3.4)
y = 22.8 – 0.96(3.4)
ý = 22.8(3.4) - 0.96
Oy = 22.8(3.4) – 0.96
State the correlation value that best respresents the plot presented.
O0.516
O-0.516
O-0.266
0.266
Interpret the slope of the line.
O For a 1 metric ton increase in US emissions, non-US emissions will, on average, increase by 22.8 metric
tons.
For a 1 metric ton increase in non-US emissions, US emissions will, on average, decrease by 0.96 metric
tons.
For a 1 metric ton increase in non-US emissions, US emissions will, on average, increase by 22.8 metric
tons.
O For a 1 metric ton increase in US emissions, non-US emissions will, on average, decrease by 0.96 metric
tons.
| We should not interpret the slope in this problem.
Interpret the y – intercept of the line.
On average, when x = 0, US emissions are 22.8 metric tons.
|On average, when r = 0, non-US emissions are - 0.96 metric tons.
On average, when r = 0, US emissions are – 0.96 metric tons.
On average, when r = 0, non-US emissions are 22.8 metric tons.
OWe should not interpret the y – intercept in this problem.
O We should interpret the y – intercept, but none of the above are correct.
Transcribed Image Text:Carbon dioxide is produced by burning fossil fuels such as oil and natural gas, and has been connected to global warming. The following output presents the average amounts (in metric tons) of carbon dioxide emissions for the years 1999-2006 per person in the United States and per person in the rest of the world in an effort to determine if non-US per person emissions can help predict US per person emissions. US 20.2 20 19.8 SUMMARY OUTPUT 19.6 19.4 Regression Statistics Multiple R 0.51622776 19.2 R Square 0.2664911 19 Adjusted R Square Standard Error 0.2175905 18.8 0.29668345 Observations 17 18.6 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 39 ANOVA df MS F iignificance F Regression 1 0.479683973 0.479684 5.44965 0.0338864 Residual 15 1.320316027 0.088021 Total 16 1.8 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 22.8013544 1.416019771 16.10243 7.16-11 19.78318 25.819529 19.7831797 25.8195291 Non-US -0.95936795 0.410961292 -2.33445 0.033886 -1.8353112 -0.0834247 -1.8353112 -0.08342469 What is the formula needed to predict US emissions in metric tons if the non-US emissions is 3.4? ý = 22.8 – 0.96(3.4) y = 22.8 – 0.96(3.4) ý = 22.8(3.4) - 0.96 Oy = 22.8(3.4) – 0.96 State the correlation value that best respresents the plot presented. O0.516 O-0.516 O-0.266 0.266 Interpret the slope of the line. O For a 1 metric ton increase in US emissions, non-US emissions will, on average, increase by 22.8 metric tons. For a 1 metric ton increase in non-US emissions, US emissions will, on average, decrease by 0.96 metric tons. For a 1 metric ton increase in non-US emissions, US emissions will, on average, increase by 22.8 metric tons. O For a 1 metric ton increase in US emissions, non-US emissions will, on average, decrease by 0.96 metric tons. | We should not interpret the slope in this problem. Interpret the y – intercept of the line. On average, when x = 0, US emissions are 22.8 metric tons. |On average, when r = 0, non-US emissions are - 0.96 metric tons. On average, when r = 0, US emissions are – 0.96 metric tons. On average, when r = 0, non-US emissions are 22.8 metric tons. OWe should not interpret the y – intercept in this problem. O We should interpret the y – intercept, but none of the above are correct.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Linear Equations
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