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A researcher investigates how one's educational attainment is affected by one's age, race, mother's education, parents' income, and religiosity. Each variable is measured as following:

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A researcher investigates how one's educational attainment is affected by one's age, race, mother's education, parents' income, and religiosity. Each variable is measured as following: Education = in the number of years completed; Age = in years; Race (consisting of white, black and other) = is recoded into Black (coded 1 for black and 0 otherwise) and Other (coded 1 for other, and 0 otherwise); Parents' Income = in $1,000 Religiosity = measured by how often one attends religious services in a month The following table reports the outcomes of OLS regression of Education on the independent variables. Table 1. OLS Regression Outcomes Independent Variables B (S.E) Intercept 9.124 (.281)* * Age 008 (.007) Black -.809 (.147)** Other 147 (.236) Mother's Education .337 (.015)** Parents' Income 120 (.031)** Religiosity .099 (.019)** R-square 0.21 = test 117.9** * p

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