Based on the regression output below from Project 1,and with "Fortnightly earnings\" as the dependent variable, select the correct interpretation for the slope coefcient for \"Age\" -_ Standard Error tStat m Lower 95% Upper 95% W -439.948 110.35 -3.987 0.000 -658.032 -221.863 m 46.590 3.789 12.295 0.000 39.101 54.079 27.240 11.850 2.299 0.023 3.821 50.658 Select one: Q a. Given that everything else being equal, when an employee is 46 years old,the salary will be increasing on average by $3,790 0 b. Given that everything else being equal,when the 'Age' of an employee increases by 1 year, the Fortnightly earnings will increase on average by $46.59. c. Given that everything else being equal,an increase of Fortnightly earnings of an employee by $1 on average, means that the person is 46 years old. 0 d. Given that everything else being equal.when the 'Age' of an employee increases by 1 year,the Fortnightly earnings will increase on average by $466.90. Based on the regression statistics below (from Project 1) and with 'Fortnightly earnings as the dependent variable, select the correct statement, Regression Statistics Multiple R 0.3167 R Square 0.1003 Adjusted R Square 0.0942 Standard Error 386.4711 Observations 150 Select one: a. There is a 31.67% chance the model is wrong O b. The average error when using the model to predict "Fortnightly earnings" is 10% O c. The average error when using the model to predict "Fortnightly earnings" is 10% O d. The average error when using the model to predict "Fortnightly earnings" is $386.47