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Regression with Stata Chapter 1 – Self Assessment

  1. Make five graphs of api99: histogram, kdensity plot, boxplot, symmetry plot and
    normal quantile plot.
  2. What is the correlation between api99 and meals? 
  3. Regress api99 on meals. What does the output tell you?
  4. Create and list the fitted (predicted) values.
  5. Graph meals and api99 with and without the regression line.
  6. Look at the correlations among the variables api99 meals ell
    avg_ed using the corr
    and pwcorr commands. Explain how these commands are different. Make a
    scatterplot matrix for these variables and relate the correlation results to the
    scatterplot matrix.
  7. Perform a regression predicting api99 from meals and
    ell
    . Interpret the output.