1. Open the data “ch8_cps” on Rstudio
  2. How many variable, number of observaPons, and dummy variables do we have?
  3. Run a regression of ahe on age, what is the model and what is the predicted equaPon
  4. What is the effect of age on ahe?
  5. Provide the scaUer plot and the fiUed regression line.
  6. Run a non-linear cubic regression of ahe on age (meaning run ahe on age, age squared,
    and age cubic. )
  7. Write down the model and the predicted equaPon for part 6.
  8. Looking at the significance of the cubic term in regression part 6, do you prefer this
    model (cubic) or would you go with a quadraPc model? Or even a linear model?
  9. Inpart6whatistheeffectofageonahe?isiteasytoread?(No)
  10. Provide/add the fiUed curve of regression part 6 on the scaUer plot (you did in part 5).
  11. Run a mulPple regression of ahe over age, age squared, age cubic, female, yrseduc. (all
    in 1 regression). Which coefficients are significant? why?
  12. What is the RSquared of regression you run in part 11? What does this number mean?
  • attachment

    Assignment13.pdf
  • attachment

    ch8_cps2.pdf
  • attachment

    ch8_cps2.xlsx