Select your answer - v oking at the data, do there appear to be any outliers and/or influential observations? e scatter diagram - Select your answer - v indicate potential influential observation(s). If there are potential influential observations enter the number of charity organizations as indicated in the table above separated by commas as neede ere are no potential influential observations leave the input box blank. For example if you think that the answer is American Red Cross enter 1. e scatter diagram - Select your answer - out box blank. For example if you think that the answer is American Red Cross enter 1. v indicate potential outlier(s). If there are potential outliers enter the number of charity organizations as indicated in the table above separated by commas as needed. If there are no outliers leave Develop an estimated regression equation that could be used to predict program expenses (%) given fundraising expenses (%). cogram Expenses (%) = Fundraising Expenses (%) (to 2 decimals) Does the value for the slope of the estimated regression equation make sense in the context of this problem situation? Enter negative values as negative numbers. e slope of the estimtaed regression equation is - Thus, for every 1% increase in the amount spent on fundraising the percentage spent on program expenses will - Select your answer - v by %: in other words, just a der 1%. The - Select your answer v slope and value seem to make sense in the context of this problem situation (to 2 decimals). Use residual analysis to determine whether any outliers and/or influential observations are present. Briefly summarize your findings and conclusions. Round to 3 decimals and enter negative value as negative numbers, if necessary. = Charity Standard Residuals Leverage 1 American Red Cross 2 World Vision 3 Smithsonian Institution 4 Food For The Poor 5 American Cancer Society 6 Volunteers of America 7 Dana-Farber Cancer Institute 8 AmeriCares ALSAC-St. Jude Children's 9 Research Hospital 10 City of Hope servation is an outlier because it has a large standardized residual. servation is an influential observation because it has high leverage.