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Multiple Regression Analysis for Unsecured Personal Loans and Net worth.

Multiple Regression Analysis for Unsecured Personal Loans and Net worth.

Contexts in source publication

Context 1
... study used multiple regressions model to establish the relationship between school fees loans, home improvement loans, emergency loans and development loans on the household financial health of primary school teachers in Emining Division, Baringo County, Kenya. The regression model was applied as follows: From Table 1 above, coefficient correlation (R) was 0.854 (r>0.5) which means there is a strong positive relationship between unsecured personal loans and house hold financial health of primary school teachers in Emining Division, Baringo County, Kenya. In addition, the coefficient of determination (R2) of 0.730 implies that house hold financial health is explained by 73% of the variations in unsecured personal loans. ...
Context 2
... testing the relationship between unsecured personal loans and Household financial health, significance value of (p) of 0.102, 0.721 and 0.074 which is more than 0.05 shows Home improvement loans, emergency loans and development loans does not have statistically significant effect on household financial health. From Table 10 above, coefficient correlation (R) was 0.804 (r>0.5) which means there is a strong positive relationship between unsecured personal loans and house hold financial health of primary school teachers in Emining Division, Baringo County, Kenya. In addition, the coefficient of determination (R2) of 0.646 implies that house hold financial health is explained by 64.6% of the variations in unsecured personal loans. ...
Context 3
... the table, it is evident that there is no autocorrelation because the Durbin-Watson value is 1.549 which is between 1.5 and 2.5. From Table 11 above, the level of significance was p= 0.000 with an F value of 13.709. This indicates that there is statistical significant relationship between unsecured personal loans and household financial health because P value is less than 0.05. ...
Context 4
... indicates that there is statistical significant relationship between unsecured personal loans and household financial health because P value is less than 0.05. Table 12 shows the significance (p) values for each independent variable (unsecured personal loans). If p<0.05, the conclusion is that the independent variable is a predictor of the dependent variable. ...
Context 5
... study used multiple regressions model to establish the relationship between school fees loans, home improvement loans, emergency loans and development loans on the household financial health of primary school teachers in Emining Division, Baringo County, Kenya. The regression model was applied as follows: From Table 1 above, coefficient correlation (R) was 0.854 (r>0.5) which means there is a strong positive relationship between unsecured personal loans and house hold financial health of primary school teachers in Emining Division, Baringo County, Kenya. In addition, the coefficient of determination (R2) of 0.730 implies that house hold financial health is explained by 73% of the variations in unsecured personal loans. ...
Context 6
... testing the relationship between unsecured personal loans and Household financial health, significance value of (p) of 0.102, 0.721 and 0.074 which is more than 0.05 shows Home improvement loans, emergency loans and development loans does not have statistically significant effect on household financial health. From Table 10 above, coefficient correlation (R) was 0.804 (r>0.5) which means there is a strong positive relationship between unsecured personal loans and house hold financial health of primary school teachers in Emining Division, Baringo County, Kenya. In addition, the coefficient of determination (R2) of 0.646 implies that house hold financial health is explained by 64.6% of the variations in unsecured personal loans. ...
Context 7
... the table, it is evident that there is no autocorrelation because the Durbin-Watson value is 1.549 which is between 1.5 and 2.5. From Table 11 above, the level of significance was p= 0.000 with an F value of 13.709. This indicates that there is statistical significant relationship between unsecured personal loans and household financial health because P value is less than 0.05. ...
Context 8
... indicates that there is statistical significant relationship between unsecured personal loans and household financial health because P value is less than 0.05. Table 12 shows the significance (p) values for each independent variable (unsecured personal loans). If p<0.05, the conclusion is that the independent variable is a predictor of the dependent variable. ...