Question

Question 16 5 pts Consider the STATA output below, in which the outcome variable is average life expectancy of the population in years (le) and the independent variable is the current year (year, i.e. 1992, 1993, etc.) repress le year Source MS Model 7618.91335 17618.91335 sa 6.99237146 Number of obs 140 FI 1. 98) - 2089.60 Prob > F Adj R-square - 0.9166 Rat SE 2.5443 What Total 8364.16566 93 33.6884612 le Coet. Std. Er (95 Cont. Intervall 74271404916 23.01.900 2842851 120563 -524.6687 17.86657 -2.38 6.808 -56. 1124-439.2243 percentage of the variation in average life expectancy of the population is explained by the independent variable in this regression model? About 30% About 0.00% About 0.92% About 92% Question 17 5 pts Consider the STATA output below, in which the outcome variable is wage (rate of pay in dollars per hour) and the independent variables are total years of experience (ttl_exp), total years in current position (tenure), and number of years of school completed (grade) regress wage le tenure grade Source 55 df MS Number of obs = 2229 3. 2225) - 120.02 Model 10363.7014 33654.56714 Prob 63124.2663 2225 28.5764586 Adj R-squared - 0.1468 74.968 2220 3.251234 Ront SE - . wape Coef. Std. Err. 2323752 .6258756 .8456872 1954 Cont. Intervall 1734612 .22491 - 011366 .86790 .736887 -5.103391 -2.625189 1.51.112 14.24 8.6 grade Interpret the slope of the relationship between the number of years completed of school and wages (i.e. For every one unit increase in... o For each year of school completed, wage decreases by $3.86. For each year of school completed, wage increases by $0.65. For each year of school completed, wage increases by $65.94. o For each year of school completed, wage increasesby $0.23.

Answer 1

Solution:

Question 16)

Interpretation of coefficient of determination

R

Percentage of the variation in average life expectancy of the population is explained by the independent variable in this regression model is about 92%

About 92%

Option D is correct.

Question 17) Interpretation of slope of the relationship between number of years completed of schools and wages is

For every one unit increases in school completed wage increases by $ 0.65 when other variables that is total year of experience and total year in current position held constant .

For each year of school completed wage increases by $0.65

Option B is correct.