I need help with these questions:

For each question, infer about the entire population of the US. Give particular attention to the nature of the associations and the presence of statistically significant relationships, describing each in detail.

1. What are the bivariate relationships between TV watching ('tvhours') and health (both 'hlthmntl' and 'hlthphys')?

2. What is the relationship between being born in the US ('born') and views on capital punishment ('cappun')?

3. What net effect does education ('degree'), age ('age'), income ('rincom16'), sex ('sex'), and white race have upon social rank ('rank')? For the final independent variable, create. a dummy variable for "white" from 'race', thus contrasting whites against people of color.

4. What is the relationship between the number of siblings that someone has ('sibs') and the number of children they have ('childs')?

5. Estimate what effect father's education ('paeduc'), sex ('sex'), occupational prestige ('prestg10'), and age of first born child ('agekdbrn') has upon education ('educ'). Which independent variables have a statistically significant (p < 0.05) relationship with the dependent variable? Which independent variable has the largest net impact? How much variability in the dependent variable is explained by this model?