Research Article
Applying Econometrics to the Carbon Dioxide “Control Knob”
Table 3
Regression of temperature change against radiative forcing of [CO2] and year-on-year changes in [H2O].
(a) |
| Regression statistics | |
| Multiple | 0.088 | square | 0.008 | Adjusted square | −0.034 | Standard error | 0.169 | Observations | 51 |
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|
(b) ANOVA |
| | df | SS | MS | |
| Regression | 2 | 0.011 | 0.005 | 0.188 | Residual | 48 | 1.372 | 0.029 | |
| Total | 50 | 1.383 | | |
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|
(c) |
| | Coefficients | Standard error | stat | value |
| Intercept | −0.030 | 0.084 | −0.360 | 0.721 | RF CO2 | 0.038 | 0.071 | 0.544 | 0.589 | Δ[H2O] | 0.017 | 0.072 | 0.230 | 0.819 |
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Sources: ESRL-NOAA and CDIAC.
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