1.

Refer to the R regression output below to answer the following questions. For a random sample of n = 100 data points, we estimated the regression salary = 50 + ,Bltenure + 5 where salary is the salary in thousand dollars and tenure is the number of years an employee worked at a rm. Estimate Std. Errkr t value Pr(>|t|) Intercept 22.0745 1.16116 19.0107 1.0le34 *** tenure 2.94989 0.05198 56.7513 9.0e77 *** Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Rsquared: 0.97047, Adjusted Rsquared: 0.9702 Fstatistic: 3220.7 on 1 and 98 DF, pvalue: 9.00e77 1. (2 points) Decide whether the following statement is correct or not. (Interpret your answer.) "On average, an employee's salary is $220745" 2. (2 points) What is the predicted salary for an employee worked at a rm for 6 years? 3. (2 points) On average, after how many years of work at a rm, an employee can get a salary of 40,000? 4. (3 points) Test the hypothesis for the slope coefcient H0131 = 0 H 1251 7g 0 at a signicance level a = 0.005. Can you reject the null? Explain your answer, indicating which part of the regression output you are using to