Charity Navigator is America's leading independent charity evaluator. The data in the Excel Online file below show the total expenses (\$), the percentage of the total budget spent on administrative expenses, the percentage spent on fundraising, and the percentage spent on program expenses for 10 supersized charities. Administrative expenses include overhead, administrative staff and associated costs, and organizational meetings. Fundraising expenses are what a charity spends to raise money, and program expenses are what the charity spends on the programs and services it exists to deliver. The sum of the three percentages does not add to 100% because of rounding. Construct a spreadsheet to answer the following questions. Due to a recent change by Microsoft you will need to open the XLMiner Analysis ToolPak add-in manually from the home ribbon, Screenshot of ToolPak Open spreadsheet a. Choose the correct scatter diagram with fundraising expensis (%) on the horizontal axis and program expenses (\%) on the vertical axis. The correct scatter diagram is Looking at the data, do there appear to be any outliers and/or influential observations? The scatter diagram (5) indicate potential influential observation(5). If there are potential influential observations, select the corresponding numbers of charity organizations as indicated in the Excel Online file above. If there are no potential influential observations, select "None". The scatter diagram indicate potential outiler(s). If there are potential outiers, select the corresponding numbers of charity organizations as indicated in the Excel Online file above, If there are no potential outilers, select "None". b. Develop an estimated regression equation that could be used to predict program expenses ( % ) given fundraising expenses ( %5). Program Expenses \% (pred) = ( ) Fundraising Expenies (\%) (to 2 decimals) c. Does the value for the slope of the estimated regression equation make sense in le context of this problom situation? The slope of the estimated regression equation is Thus, for every 1% increase in the amount spent on fundraising the percentage spent on program expresses wil sense in the context of this probiem situation (to 2 decimals). d. Use residual analysis to determine whether any outiers and/or influential observations are present, Briefy fummarize your findings and .conclusions. Observation is an outlier because it nas the largest absolute value of the standardized residual. Observation is an infuential observation because it has the highest leverage. Charity Navigator is America's leading independent charity evaluator. The data in the Excel Online file below show the total expenses (\$), the percentage of the total budget spent on administrative expenses, the percentage spent on fundraising, and the percentage spent on program expenses for 10 supersized charities. Administrative expenses include overhead, administrative staff and associated costs, and organizational meetings. Fundraising expenses are what a charity spends to raise money, and program expenses are what the charity spends on the programs and services it exists to deliver. The sum of the three percentages does not add to 100% because of rounding. Construct a spreadsheet to answer the following questions. Due to a recent change by Microsoft you will need to open the XLMiner Analysis ToolPak add-in manually from the home ribbon, Screenshot of ToolPak Open spreadsheet a. Choose the correct scatter diagram with fundraising expensis (%) on the horizontal axis and program expenses (\%) on the vertical axis. The correct scatter diagram is Looking at the data, do there appear to be any outliers and/or influential observations? The scatter diagram (5) indicate potential influential observation(5). If there are potential influential observations, select the corresponding numbers of charity organizations as indicated in the Excel Online file above. If there are no potential influential observations, select "None". The scatter diagram indicate potential outiler(s). If there are potential outiers, select the corresponding numbers of charity organizations as indicated in the Excel Online file above, If there are no potential outilers, select "None". b. Develop an estimated regression equation that could be used to predict program expenses ( % ) given fundraising expenses ( %5). Program Expenses \% (pred) = ( ) Fundraising Expenies (\%) (to 2 decimals) c. Does the value for the slope of the estimated regression equation make sense in le context of this problom situation? The slope of the estimated regression equation is Thus, for every 1% increase in the amount spent on fundraising the percentage spent on program expresses wil sense in the context of this probiem situation (to 2 decimals). d. Use residual analysis to determine whether any outiers and/or influential observations are present, Briefy fummarize your findings and .conclusions. Observation is an outlier because it nas the largest absolute value of the standardized residual. Observation is an infuential observation because it has the highest leverage
