# Environmental Impacts of Cement Production: A Statistical Analysis
## 3 Results
### Other Emission Variables  
This section focuses on producing accurate models for the other Emission ICs. The first model here fit is a multiple linear regression model containing as target variables all the emissions. The results are collected in Tables 16-18 for CEM I, II and IV, respectively. Since in Section 3.3, subsampling data with respect to the type of cement has led to a more accurate model, also in this Section each type of cement is examined separately. Figure 7: Size of the coefficients (AIC selected components) for each type of cement (absolute values). (**a**) aggregated data; (**b**) CEM I; (**c**) CEM II; (**d**) CEM IV. \begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**ICs**} & \multicolumn{3}{c}{**Linear Regression (AP vs. Consumption ICs) CEM I**} \\ \cline{2-4}  & **Coefficients** & **St. Dev.** & \(p\)**-Value** \\ \hline ADPe & 0.199 & 0.314 & \\ ADPf & 0.184 & 0.349 & \\ TRPE & 0.424 & 0.313 & \\ SRM & 0.424 & 0.302 & \\ NRSF & \(-\)0.148 & 0.217 & \\ RSF & \(-\)0.057 & 0.166 & \\ Water & 0.380 & 0.251 & \\ El & \(-\)0.070 & 0.135 & \\ \hline \hline \multirow{2}{*}{**ICs**} & \multicolumn{3}{c}{**Linear Regression (EP vs. Consumption ICs) CEM I**} \\ \cline{2-4}  & **Coefficients** & **St. Dev.** & \(p\)**-Value** \\ \hline ADPe & 0.744 & 0.409 & \\ ADPf & 1.571 & 0.454 & ** \\ TRPE & 0.085 & 0.408 & \\ SRM & 0.732 & 0.394 &. \\ NRSF & 0.187 & 0.283 & \\ RSF & 0.355 & 0.216 & \\ Water & \(-\)0.615 & 0.327 &. \\ El & \(-\)0.273 & 0.176 & \\ \hline \hline \multirow{2}{*}{**ICs**} & \multicolumn{3}{c}{**Linear Regression (POCP vs. Consumption ICs) CEM I**} \\ \cline{2-4}  & **Coefficients** & **St. Dev.** & \(p\)**-Value** \\ \hline ADPe & \(-\)0.034 & 0.427 & \\ ADPf & \(-\)0.567 & 0.474 & \\ TRPE & 0.364 & 0.425 & \\ SRM & 0.798 & 0.410 &. \\ NRSF & \(-\)0.440 & 0.295 & \\ RSF & \(-\)0.314 & 0.226 & \\ Water & 0.786 & 0.341 & * \\ El & \(-\)0.105 & 0.183 & \\ \hline \hline \end{tabular}
\end{table} 
Table 16: Linear regression summary—CEM I. \begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**ICs**} & \multicolumn{3}{c}{**Linear Regression (AP vs. Consumption ICs) CEM II**} \\ \cline{2-4}  & **Coefficients** & **St. Dev.** & \(p\)**-Value** \\ \hline ADPe & 0.067 & 0.180 & \\ ADPf & 0.638 & 0.284 & * \\ TRPE & \(-\)0.003 & 0.079 & \\ SRM & 0.175 & 0.269 & \\ NRSF & 0.116 & 0.189 & \\ RSF & 0.017 & 0.140 & \\ Water & 0.605 & 0.160 & *** \\ El & \(-\)0.160 & 0.147 & \\ \hline \hline \multirow{2}{*}{**ICs**} & \multicolumn{3}{c}{**Linear Regression (EP vs. Consumption ICs) CEM II**} \\ \cline{2-4}  & **Coefficients** & **St. Dev.** & \(p\)**-Value** \\ \hline ADPe & 0.084 & 0.187 & \\ ADPf & 1.709 & 0.296 & *** \\ TRPE & 0.145 & 0.083 &. \\ SRM & 0.627 & 0.281 & * \\ NRSF & 0.411 & 0.197 & * \\ RSF & 0.427 & 0.146 & ** \\ Water & \(-\)0.025 & 0.168 & \\ El & \(-\)0.394 & 0.153 & * \\ \hline \hline \multirow{2}{*}{**ICs**} & \multicolumn{3}{c}{**Linear Regression (POCP vs. Consumption ICs) CEM II**} \\ \cline{2-4}  & **Coefficients** & **St. Dev.** & \(p\)**-Value** \\ \hline ADPe & \(-\)0.178 & 0.199 & \\ ADPf & \(-\)0.289 & 0.314 & \\ TRPE & \(-\)0.033 & 0.088 & \\ SRM & 0.495 & 0.298 &. \\ NRSF & 0.094 & 0.209 & \\ RSF & \(-\)0.065 & 0.155 & \\ Water & 0.950 & 0.178 & *** \\ El & \(-\)0.296 & 0.162 &. \\ \hline \hline \end{tabular}
\end{table} 
Table 17: Linear regression summary—CEM II. For each class, the second model consists in a linear model, which exploits only the variables established in Section 3.3 as relevant to predict GWP. The models are summarized in Tables 19-21 for CEM I, II, and IV, respectively.