Source: IBM-SPSS 25 Analysis by Enyi, 2018
The resulting models from the data analysis using GLM regression are expressed as follows:
Logit1 = -0.678 + 0.734Ln(Unified) + ε (5)
Logit2 = -2.99 – 2.538Ln(ROA) + 1.097Ln(ROE) + 1.709Ln(ROCE) + 1.427Ln(EPS) + ε (6)
Table 3: Comparative Analysis of Logit1 and Logit2 using IBM-SPSS 25 Output