Figures & data
Figure 1. (a) Annual log-transformed EIA and CAMD CO2 emissions for 210 U.S. power plants. (b) Regression residuals showing a homoscedastic distribution.
![Figure 1. (a) Annual log-transformed EIA and CAMD CO2 emissions for 210 U.S. power plants. (b) Regression residuals showing a homoscedastic distribution.](/cms/asset/a663e8ad-cd63-4adc-a9a0-0fba8145db1e/uawm_a_954965_f0001_b.gif)
Figure 2. Regression of log-transformed CAMD CO2 emissions against log-transformed EIA CO2 emissions (cf. Quick, Citation2014, ).
![Figure 2. Regression of log-transformed CAMD CO2 emissions against log-transformed EIA CO2 emissions (cf. Quick, Citation2014, figure 3).](/cms/asset/a8170fd6-751d-4dd4-9ad4-d84de833ff63/uawm_a_954965_f0002_b.gif)
Figure 3. The relationship between the relative difference and the (a) virtual EIA data set (EIAv) and (b) the virtual CAMD data set (CAMDv), constructed by adding incremental values to each EIAv datum with zero mean and standard deviation of 1.
![Figure 3. The relationship between the relative difference and the (a) virtual EIA data set (EIAv) and (b) the virtual CAMD data set (CAMDv), constructed by adding incremental values to each EIAv datum with zero mean and standard deviation of 1.](/cms/asset/77d11c3a-b8f9-4c85-85eb-6e2146649673/uawm_a_954965_f0003_b.gif)
Figure 4. The relationship between the level of increment variance added to the virtual CAMD data set (x-axis) and the correlation value (y-axis).
![Figure 4. The relationship between the level of increment variance added to the virtual CAMD data set (x-axis) and the correlation value (y-axis).](/cms/asset/4a404fd1-5bab-4f3c-b9cc-44c00caaccf0/uawm_a_954965_f0004_b.gif)