Sally's = 4.71 + 5.86*1 - 2.80*1 + 0.31*30 = 17.07
Betsy's = 4.71 + 5.86*1 - 2.80*1 + 0.31*34 = 18.31
Expected difference = 18.31 - 17.07 = 1.24 (or -1.24)
The data set consists of information on 3700 full-time full-year workers. The highest educational achievement for...
The data set consists of information on 4900 full-time full-year workers. The highest educational achievement for each worker was either a high school diploma or a bachelor's degree. The worker's ages ranged from 25 to 45 years. The data set also contained information on the region of the country where the person lived, marital status, and number of children. For the purposes of these exercises, let AHE = average hourly earnings (in 2005 dollars) College = binary variable (1 if...
The data set consists of information on 3800 full-time fll-erworkers. The highest educational achievement for each worker was either a high school diploma or a bachelors degree. The workers ages ranged from 25 to 45 years. The data set also contained information on the region of the country where the person lived, marital status, and number of children. For the purposes of these exercises, let AHEaverage hourly earnings (in 2005 dollars) Collegebinary variable (1 if college, O if high school)...
hey guy, i need your help in this question , thank you soooo much! More Info Variable Definitions Variable ??? College Female Age Ntheast Midwest South West Definition Average hourly earnings (in 1998 dollars) Binary variable (1 if college, 0 if high school) Binary variable (1 if female, 0 if male). Age (in years) Binary variable (1 if RegionNortheast, 0 otherwise) Binary variable (1 if Region Midwest, 0 otherwise) Binary variable (1 if Region South, 0 otherwise) Binary variable (1...
Use the following chart to answer the below questions. Each column represents a different regression equation in which only some of the potential variables are used. If there is no coefficient value in a specific column for a specific variable, that variable was not included. We are interested in what affects average hourly earnings, where: College 1 if worker went to college, 0 if they have a high school diploma Female 1 if worker is female (0 otherwise) Age- Age...
Table 1: 2012 Current Population Survey Data Dependent Variable: Av Hourly Eaming 8.31 0.2 3.85 0.2 8.34 8.32 0.22 3.81 0.22 0.51 0.04 College (X) Female (X2) Age (X3) Northeast (x) Midwest (L.) South (Xs) Intercept 3.80 0.52 04 0.18 36 1.23 31 0.43 30 2.05 17.02 1.87 Forthis question, refer to the table of estimated regressions in Table 1, computed using data from the 2012 CPS. The dataset contains information on 7,440 full-time, full-year workers. The highest educational achievement...
Refer to the table of estimated regressions below, computed using data for 1998 from the CPS, to answer the following question. The data set consists of information on 4000 full-time full-year workers. The highest educational achievement of each worker was either a high school diploma or a bachelor's degree. The worker's age ranged from 25 to 34 years. The data set also contained information on the region of the country where the person lived, marital status, and number of children....