Question 1 1 pts Which one of the following statements about the R2 is FALSE? O The R² gives the amount of variation exp
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Question 1 1 pts Which one of the following statements about the R2 is FALSE? O The R² gives the amount of variation exp
Question 1 1 pts Which one of the following statements about the R2 is FALSE? O The R² gives the amount of variation explained by the model. If the R² is higher than 80% and assumptions are satisfied, then the model is probably good for prediction. O The R² gives the reduction in variability as a result of fitting the model, as a proportion of total variability. O The R² is able to tell us whether a linear relationship exists between the variables. Question 2 1 pts Consider the following output for a linear model for estimating the salary of employees at a company (in $) by the number of years employed at the company. > technitron.1m = 1m(salary yrs.emp1, data = technitron.df) > newdata = list (yrs.empl = c(6, 8)) > predict(technitron. Im, newdata, interval= "confidence") fit 1wr upr 1 35837.47 32582.25 37492.69 2 37251.91 35024.31 39479.50 > predict(technitron.1m, newdata, interval="prediction") fit lwr upr 1 35837.47 20396.88 49678.86 2 37251.91 22647.76 51856.85 Give the appropriate interval for the average salary of employees who have been employed for 8 years. O (22647.76, 51856.05) O (35024.31, 39479.50) (20396.88, 49678.06) (32582.25, 37492.69)
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