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 𝑅	0.088
𝑅 square	0.008
Adjusted 𝑅 square	−0.034
Standard error	0.169
Observations	51

(b) ANOVA

	df	SS	MS	𝐹
Regression	2	0.011	0.005	0.188
Residual	48	1.372	0.029
Total	50	1.383

(c)

	Coefficients	Standard error	𝑡 stat	𝑃 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

Sources: ESRL-NOAA and CDIAC.