Table 6. Univariate and multivariate regression.
Variables | Partial regression coefficients | Standardized coefficients | t | Sig. | |
---|---|---|---|---|---|
B | Std. Error | Beta | |||
(Constant) | 8.451 | 0.496 | 17.024 | 0.000 * | |
Gender (male vs Female | −0.319 | 0.358 | −0.055 | −0.892 | 0.373 |
Job (yes vs No) | 0.825 | 0.444 | 0.140 | 1.858 | 0.064 |
Income (30K to 50K vs 10K-30K) | −0.184 | 0.458 | −0.028 | -0.402 | 0.688 |
Income (More than 50K vs 15K-30K) | 0.395 | 0.475 | 0.066 | 0.832 | 0.406 |
Age (30-45 vs 15-30 years) | 1.148 | 0.377 | 0.199 | 3.044 | 0.003 * |
Age (45 and above vs 15-30 years) | 1.076 | 0.831 | 0.081 | 1.295 | 0.196 |
*Significant at 0.05, F = 2.575, p = 0.019, R 2 = 0.054, R 2 adjusted showed that regression had 3% predictive accuracy.