positive or negative but should also be very strong which is always between 0 to -1. Indeed, the score more than -0.5 is supposed to be stronger.

The correlation test is not satisfactory. Because, the test shows no relationship between the revenues and net income. Similarly, there is either no relation or there is negative correlation between the variables. So, it can be determined that there is no impact of one variable on the other.

Regression

Regression test is conducted to understand the impact of one variable on another. Since, there are two variables one independent and second is dependent variable. There is only one independent variable and there are multiple independent variables that havean effect on the dependent variables. So, at what degree does it have an effect is tested through the regression tests.

Certainly, index was selected as dependent variable, and other variables as the independent variables during the regression tests. Furthermore, the Model summary shows r which is indicated as a relationship of dependent and independent variables. Whereas, R-Square also indicates that model fits good, but not well to the data set. Meanwhile, the revenues and index had 0.014 significance, rejecting null hypothesis.

On the other hand, income, value has score equal to the significant level that suggests rejecting the null hypothesis. Since, the last variable is in favor of rejecting null hypothesis. So, test score of three variables score suggest that null hypothesis should be rejected, and one other suggests that it should be accepted. But, the important thing is that why income variable is above the significant variable. However, overall analysis is in favor to accept null hypothesis see graphs in appendices.

Effects of Financial Planning Harvard Case Solution & Analysis

Conclusion

There are several variables that could be considered, but the degree of planning is best to measure, and distinguish success from those who fail. Furthermore, the correlation test suggests that there is not much strong correlation between the variables. Either they have weak positive relation, or weak negative relation. So, it can be interpreted that there would be no impact of one variable on another. However, generally it should be an opposite result than the current. Indeed, the weak result usually does not mean that there would be no effect at all. Because, in weak relation there might be an effect not in much degree as it takes place in first variable. Temporarily, the nature of data has also created confusion. Such as relationship between revenue and net income. How, a small change in revenue would have a very small change in the net income. This reason results are confusing. But, we can conclude that if there is weak relation, then there is relation, and they depend on each other as well. The hypothesis of the report is degree of planning is either distinguishable or not for those that succeed from those that failed. The regression test suggests that there are three variables less than the significant level, and one is over the significant level. However, the overall results suggest that there..................

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