of 89%. He concludes that the model is a useful one for predicting one month's An analyst at a credit card bank is looking at the relationship between customers' charges to the bank's card in two successive months. He selects 20 random customers, regresses charges in March ($) on charges in February ($), and finds an R charges from the other. Examine the accompanying data and comment on his conclusions. .: Click the icon to view the data. Select the correct choice below and fill in any answer boxes to complete your choice. O A. The analyst's conclusion is only somewhat correct. The linear model can be used, but only to predict March charges using February charges. %. The analyst should set aside those two customers and refit the model. OB. There are two outliers that inflate R'. Without those two points, R drops from 89% to (Round to the nearest integer as needed.) O C. The analyst's conclusion is correct. %. The analyst should set aside those two customers and use the new model. OD. There are two outliers that decrease R. Without those two points, R2 increases from 89% to (Round to the nearest integer as needed.) of 89%. He concludes that the model is a useful one for predicting one month's An analyst at a credit card bank is looking at the relationship between customers' charges to the bank's card in two successive months. He selects 20 random customers, regresses charges in March ($) on charges in February ($), and finds an R charges from the other. Examine the accompanying data and comment on his conclusions. .: Click the icon to view the data. Select the correct choice below and fill in any answer boxes to complete your choice. O A. The analyst's conclusion is only somewhat correct. The linear model can be used, but only to predict March charges using February charges. %. The analyst should set aside those two customers and refit the model. OB. There are two outliers that inflate R'. Without those two points, R drops from 89% to (Round to the nearest integer as needed.) O C. The analyst's conclusion is correct. %. The analyst should set aside those two customers and use the new model. OD. There are two outliers that decrease R. Without those two points, R2 increases from 89% to (Round to the nearest integer as needed.)