to deliver. The sum of the three percentages does not add to 100% because of rounding. and/or influential observations? There appear to be no possible outliers or influential observations. and/or influential observations? There appear to be no possible outliers or influential observations. There appears to be one possible outlier or influential observation. There appear to be two or more possible outliers and/or influential observations. y^= (c) Does the value for the slope of the estimated regression equation make sense in the context of this problem situation? (b). The negative slope and value seem to make sense in the context of this problem situation. The negative slope and value do not seem to make sense in the context of this problem situation. The positive slope and value seem to make sense in the context of this problem situation. (b). The negative slope and value seem to make sense in the context of this problem situation. (b). The positive slope and value do not seem to make sense in the context of this problem situation. d) Use residual analysis to determine whether any outliers and/or influential observations are present. (Select all that apply.) Charity C is a possible outlier because it has a large standardized residual (less than -2 or greater than +2 ). Charity C is a possible influential observation because it has high leverage (greater than 6 ). Charity E is a possible outlier because it has a large standardized residual (less than -2 or greater than +2 ). Charity E is a possible influential observation because it has high leverage (greater than 6 ). Charity H is a possible outlier because it has a large standardized residual (less than -2 or greater than +2 ). Charity H is a possible influential observation because it has high leverage (greater than 6 ). There are no possible outliers present. There are no possible influential observations present. Briefly summarize your findings and conclusions. This answer has not been graded yet