ts VF 356 998 887 738 99 -02 43 206 219 309 004 of beds thet 567 158 In a regres
ID: 3362546 • Letter: T
Question
ts VF 356 998 887 738 99 -02 43 206 219 309 004 of beds thet 567 158 In a regression analysis the following SPSS output table is produced. The purpose of this analysis is to build a prediction model for predicting the survival size by using percentage of beds that are for-profit hospital (in the recorded data 0.34 means 34%) and the state population in thousand (in the recorded data 5,000 means 5,000 thousand). Which of the following statements is(are) correct? [There may be more than one correct answer.] There is strong collinearity since the VIF is less than 10. If both predictor variables are significant, the predicted average survival size for a state with a population of 6,000 thousand and 10% of the beds that are for-profit hospital would be 373.91. If both predictor variables are significant, the predicted survival size for a state with a population of 6,000 thousand and 10% of the beds that are for-profit hospital would be 16.93 As the percentage of beds that are for-profit hospital increases the survival size decreases Both variables are insignificant factors for predicting the survival size.Explanation / Answer
Statements number 2) and 4) are correct and statements number 1),3), 5) are incorrect.
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