Reference no: EM133635044

Open your ACS2017.sav SPSS file. Recreate the following regressions. First, use the number of children in the household (independent variable) to predict the number of hours worked in a typical week (dependent variable).

What percentage of the variation in the number of hours worked in a week is caused by the number of children present in the household?

Using the same regression model of the number of children in the household and number of hours worked in a typical week, as the number of children in the household increases, the number of hours typically worked in a week increases by how many hours?

Adding to your regression model of number of children in the household and average number of hours worked in a typical week, now, add sex to your model with female as the reference category.

With the same multivariate regression including sex, children in the household, and average hours worked in a typical week, controlling for sex, as the number of children in the household increases, the number of hours typically worked in a week increases by how many hours?

Keeping with the same multivariate regression: sex, number of children in the household, and average hours worked in a typical week, add in race, with white as the reference category.

Controlling for sex and number of children in the household, moving from white to non-white decreases the number of hours worked in a typical week by how many hours?

With the same multivariate regression of sex, race, number of children in the household, and average number of hours worked in a typical week, controlling for sex and race, as the number of children in the household increases, the number of hours typically worked in a week increases by how many hours?