A POI "I5 JHVE Ml lawll Data on recovery time (minutes) from a small surgical procedure as well as data on age (years) and sex (1 = male, 0 = female) of 53 hospitalized patients is collected. It is of interest to understand the relationship between the response variable, recovery time, and the predictor variables age and sex. A multiple linear regression model was fit in R and the output is given below: Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -6.1510 14.3261 -0.429 0.6695 sex -6.5438 4.2118 -1.554 0.1266 age 0.5477 0.2272 2.410 0.0197 What is the correct interpretation of the estimated slope for the sex predictor? O The odds of recovery for males is 6.54 times the odds of recovery for females. adjusting for age. 0 Females have a mean recovery time that is about 6.54 minutes less than males, adjusting tor age. 0 Males have a mean recovery time that is about 6.54 minutes less than females, adjusting for age. 0 The odds of recovery for females is 6.54 times the odds of recovery for males, adjusting for age. 0 The odds of recove Screenshot 3'54 times the odds of recovery for females, adjusting for age