Basic Statistics - Alumni Contribution Study

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[pic] Table 1.1 Preliminary Observation (X1) The graph displayed a positive linear relationship between the dependent variable, Alumni Giving Rate, and the independent variable, Graduation Rate. This indicates that as the Student–Faculty ratio increases, the percentage of Alumni contribution increases as well. This corresponded to the assumption that if more students graduate, they will donate back to the school, thus increasing the alumni contribution. The linear relationship is strong as the dots are gathered closely together in the scatter graph. It implies that the independent variable could be used as a predictor of the Alumni Giving Rate. [pic] Table 1.2 Preliminary Observation (X2) The graph displayed a positive…show more content…
Conclusion I disagree with Prof. Jimmy claims that we can increase the alumni contribution rate to 50% by holding the student to faculty ratio at 15. It is highly probable the increment would roughly range from 18.9% to 25.418% with that ratio. Hence, it would be advisable to look at other possible factors that might affect the contribution rates and adjust our strategies accordingly since it would not be cost effective to drop the ratio indefinitely till we reach the intended target. |Model Summary | |Model | Table 3.1 |ANOVAb | |Model | |b. Dependent Variable: Alumni Giving Rate (%) | Table 3.2

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