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 Adjusting for sex, is age a significant predictor of recovery time? (Use a 1% significance level.) O No, since the p-value for the corresponding slope coefficient is 0.01. O No, since the p-value for the intercept is > 0.01. O No, since the p-value for the corresponding slope coefficient is > 0.01. O Yes, since the p-v Screenshot ponding slope coefficient is