I cannot find any resources that explains what exactly the columns in an MGWR outputted feature layer are. So i'd just like some confirmation. Here are my columns:
| Field Name |
| S_T_DRIVE_ |
| S_SG_DRIVE |
| S_C_EV__ |
| S_SE_EV__ |
| S_T_EV__ |
| S_SG_EV__ |
| S_C_IMD_SC |
| S_SE_IMD_S |
| S_T_IMD_SC |
| S_SG_IMD_S |
| S_C_PERC_M |
| S_SE_PERC_ |
| S_T_PERC_M |
| S_SG_PERC_ |
| S_C_WHITE |
| S_SE_WHITE |
| S_T_WHITE |
| S_SG_WHITE |
| S_PREDICT |
| PREDICTED |
| C_INTRCPT |
| C_MID_AGE |
| C_DRIVE__ |
| C_EV__ |
| C_IMD_SCOR |
| C_PERC_MAL |
| C_WHITE |
| S_RESIDUAL |
| S_STDRESID |
| INFLUENCE |
| COOKS_D |
| LOCALR2 |
| CND_NUMBER |
EV, Drive, IMD, Perc M, White, mid-age are my variables. S_SG is significance I am assuming. Is S_C_ the coefficients? And is S_T the t-values? And is S_SE the standard error?
