Question: The regression results use the discharge of CO2 in metric tons from transportation in the US from 1949 to 2006 as the dependent variable. The independent variable, t, is calculated at the year minus 1948, so t=1 for 1949, t = 2 for 1950, and so on until t = 58 for 2006. Use the results to answer the following questions.
a. Use the regression report below to write down the equation from these results.
b. Forecast CO2 emissions in metric tons for 2010.
c. Since this regression uses time-series data, what problems might arise and how can these be identified?
d. What does the R2 statistic tell you?
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Regression Statistics
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Multiple R
R Square
Adjusted R Square Standard Error Observations
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0.99
0.98
0.98
17.63
58
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ANOVA
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df
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SS
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MS
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F
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Significance F
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Regression Residual
Total
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IMO 56.00 57.00
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785,648.05 17,405.24 803.053.29
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785,648.05
310.81
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2,527.76
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0.00
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Coefficients Standard Error
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t Slat
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P-value
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Lower 95%
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Upper95%
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Intercept
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141.60
6.95
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4.69
0.14
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30.19
50.28
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0.00
0.00
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132.21
6.68
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151.00
7.23
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