If there are potential outliers, select the corresponding numbers of charity organizations as indicated in the Excel Online file above. If there are no potential outliers, select "None". 3 b. Develop an estimated regression equation that could be used to predict program expenses (%) given fundraising expenses (%). Program Expenses % (pred) = [90.94 + -0.91 Fundraising Expenses (%) (to 2 decimals) c. Does the value for the slope of the estimated regression equation make sense in the context of this problem situation? Thus, for every 1% increase in the amount spent on fundraising by 0.91 %. The negative slope and value seem to The slope of the estimated regression equation is -0.91 the percentage spent on program expresses will decrease make sense in the context of this problem situation (to 2 decimals). d. Use residual analysis to determine whether any outliers and/or influential observations are present. Briefly summarize your findings and conclusions. is an outlier because it has the largest absolute value of the standardized residual. Observation 3 Observation 5 is an influential observation because it has the highest leverage. A B D 1 Charity # Charity 23456 234569 1 American Red Cross Total Expenses Administrative ($) 3356821405 E Fundraising Expenses (%) Expenses (%) Expenses (%) 3.8 3.6 World Vision 1209120619 3.8 7.6 66 92.1 88.0 Smithsonian Institution 1079765477 23.7 2.3 73.5 Food For the Poor 1048094085 0.6 2.6 96.5 American Cancer Society 1000491874 5.9 22.3 71.4 Volunteers of America 927838509 8.4 1.9 89.1 Dana-Farber Cancer 8 7 Institute 877176022 12.9 1.5 9 8 AmeriCares 857584442 0.5 0.8 5 85.2 98.8 ALSAC - St. Jude Children's 10 9 Research Hospital 829657389 9.6 16.9 73.6 11 12 13 123 10 City of Hope 737394387 13.8 2.8 83.1 G