Interpret the slope of the line. 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. 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 �-intercept of the line. On average, when �=0, non-US emissions are -0.96 metric tons. On average, when �=0, US emissions are -0.96 metric tons. On average, when �=0, US emissions are 22.8 metric tons. On average, when �=0, non-US emissions are 22.8 metric tons. We should not interpret the �-intercept in this problem. We should interpret the �-intercept, but none of the above are correct.
Interpret the slope of the line. 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. 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 �-intercept of the line. On average, when �=0, non-US emissions are -0.96 metric tons. On average, when �=0, US emissions are -0.96 metric tons. On average, when �=0, US emissions are 22.8 metric tons. On average, when �=0, non-US emissions are 22.8 metric tons. We should not interpret the �-intercept in this problem. We should interpret the �-intercept, but none of the above are correct.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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ANSWER ALL QUESTION
Interpret the slope of the line.
- 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.
- 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 �-intercept of the line.
- On average, when �=0, non-US emissions are -0.96 metric tons.
- On average, when �=0, US emissions are -0.96 metric tons.
- On average, when �=0, US emissions are 22.8 metric tons.
- On average, when �=0, non-US emissions are 22.8 metric tons.
- We should not interpret the �-intercept in this problem.
- We should interpret the �-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
been connected to global warming. The following output presents the average am
(in metric tons) of carbon dioxide emissions for the years 1999-2006 per person in
United States and per person in the rest of the world in an effort to determine if r
US per person emissions can help predict US per person emissions.
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
ANOVA
Regression
Residual
Total
Intercept
Non-US
0.51622776
0.2664911
0.2175905
0.29668345
df
17
20.2
20
19.8
19.6
19.4
19.2
19
18.8
18.6
3.1
3.2
1.8
•
....
3.3
3.4
US
3.5
SS
MS
F
Significance F
1 0.479683973 0.479684 5.44965 0.0338864
15
1.320316027 0.088021
16
3.6
3.7
3.8
3.9
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
22.8013544 1.416019771 16.10243 7.1E-11 19.78318 25.819529 19.7831797 25.8195291
-0.95936795 0.410961292 -2.33445 0.033886 -1.8353112 -0.0834247 -1.8353112 -0.08342469

Transcribed Image Text:What is the formula needed to predict US emissions in metric tons if the non-US
emissions is 3.4?
Oŷ = 22.8(3.4) – 0.96
-
Oŷ= 22.8 -0.96(3.4)
Oy= 22.8(3.4) - 0.96
y = 22.8 -0.96(3.4)
State the correlation value that best respresents the plot presented.
O-0.516
O 0.266
O-0.266
O 0.516
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