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l. Data'Driven llilalculativnns As explained in the case study, PVA is trying to implement an efficient way to determine if they can receive the same

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l. Data'Driven llilalculativnns As explained in the case study, PVA is trying to implement an efficient way to determine if they can receive the same amount of donations from previous giving's. I implemented a regression analysis to help show how the relationship between the response variable (GiftAmnt) and the predictor variablesI such as the last gift amount. I will start the analysis by testing the independence then I will on] a regression analysis. I'L: Number of gift amounts and characteristics of the donor are independent H.: Number of gift amounts and characteristics of the donor are not independent Given the results, the p values are equal to {Dl Since the pvalue is less than 11135, we can reject the null hypothesis and accept the alternative hypothesis. Therefore. the variables are not independent. hence, we can move forward with the regression analysis to investigate the relationship between the variables and forecast the needs of the future

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