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PART ONE
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% |
Intercept | 1.597561 | 0.234974 | 6.798891 | 0.000138 | 1.05571 | 2.139411 | 1.05571 | 2.139411 |
X Variable 1 | -0.14634 | 0.064674 | -2.26274 | 0.053493 | -0.29548 | 0.002798 | -0.29548 | 0.002798 |
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% |
Intercept | 2.358209 | 0.634913 | 3.714221 | 0.00592 | 0.894096 | 3.822322 | 0.894096 | 3.822322 |
X Variable 1 | -0.16915 | 0.176775 | -0.95689 | 0.366641 | -0.5768 | 0.238489 | -0.5768 | 0.238489 |
PART TWO
In the first chart, the p-value is 0.053493, which is lower than the critical value of 0.05. hence the changes in independent variable are significant since it relates with the dependent variable. On the other hand, the second chart p-value is 0.366641, which is greater than 0.05. this shows that the variable is insignificant.
Limitations
This study's limitations are its flaws or demerits, resulting from unavailability of resources, small sample size, flawed methodology, among others. The respondents were limited to the educated and employed persons only. The small size could not give enough information to bring out exact findings.