4.2 Correlation
In general, the results of the correlation between ratios of assets to the profit that is worth 0965. This
means that every increase of one unit of the fourth growth of financial assets ratio, would lead to increased
profit of 0.965.
4.3 Coefficient Determination
adjusted R square value amounted to 0.659. its mean income growth is explained by changes in growth
assets ratio amounted to 65,9 percent and the rest explained by other variables.
4.4. Hypothesis Testing
initial hypothesis and altemative hypothesis are as follows:
Ho: Variables in the regression equation did not significantly affect the profit of banking companies.
HI: The variables in the regression equation significantly affect the profit of banking companies.
significant value for the regression equation amounts 10 0.383. Since the number 0.383 is greater than 0.05, then Ho is accepted, it means that all variables are not significant at a = 0.05, but significant at a = 0.383. To find the form of an equation that gives the best prediction results, it can be seen from the adjusted R square value of each form forecasting models. for the fourth regression equation adjusted R square value is 0.659
4.2 Correlation In general, the results of the correlation between ratios of assets to the profit that is worth 0965. This means that every increase of one unit of the fourth growth of financial assets ratio, would lead to increased profit of 0.965. 4.3 Coefficient Determination adjusted R square value amounted to 0.659. its mean income growth is explained by changes in growth assets ratio amounted to 65,9 percent and the rest explained by other variables. 4.4. Hypothesis Testing initial hypothesis and altemative hypothesis are as follows: Ho: Variables in the regression equation did not significantly affect the profit of banking companies. HI: The variables in the regression equation significantly affect the profit of banking companies. significant value for the regression equation amounts 10 0.383. Since the number 0.383 is greater than 0.05, then Ho is accepted, it means that all variables are not significant at a = 0.05, but significant at a = 0.383. To find the form of an equation that gives the best prediction results, it can be seen from the adjusted R square value of each form forecasting models. for the fourth regression equation adjusted R square value is 0.659
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