Question: Surgery A researcher performed a linear regression analysis between a surgical patients' 11 point length of stay (measured in days) in the hospital and the

 Surgery A researcher performed a linear regression analysis between a surgicalpatients' 11 point length of stay (measured in days) in the hospital

Surgery A researcher performed a linear regression analysis between a surgical patients' 11 point length of stay (measured in days) in the hospital and the patient's functional The least-squares regression model between functional ability (x) and length of ability score (on a scale from 1 to 100 ) measured 24 hours after surgery. hospital stay (y) is given below: y^=9.80.10x One interpretation of the slope is: For every score increase in the functional ability, the length of hospital stay will decrease by 0.10 days. For every day increase of hospital stay, the score on functional ability will decrease by 0.10. For every day increase of hospital stay, the score on functional ability will increase by 9.8. For every score increase in the functional ability, the length of hospital stay will increase by 9.8 days. Surgery A researcher performed a linear regression analysis between a surgical patients' 121 point The percentage of variability between function ability and length of hospital stay length of stay (measured in days) in the hospital and the patient's functional ability score (on a scale from 1 to 100 ) measured 24 hours after surgery. was found to be R-squared =91.7%. Calculate the correlation coefficient. 0.8409 0.9576 0.8409 0.9576

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