#### 8.2.57.25 tblish.dataset.freeny ¶

Static Method: `out =` freeny `()` ¶

  Freeny’s Revenue Data

  #### Description ¶

  Freeny’s data on quarterly revenue and explanatory variables.

  #### Format ¶

  Freeny’s dataset consists of one observed dependent variable (revenue) and four explanatory variables (lagged quartery revenue, price index, income level, and market potential).

  `date`

    Start date of the quarter for the observation.

  `y`

    Observed quarterly revenue. TODO: Determine units (probably millions of USD?)

  `lag_quarterly_revenue`

    Quarterly revenue (`y`), lagged 1 quarter.

  `price_index`

    A price index

  `income_level`

    ??? TODO: Fill this in

  `market_potential`

    ??? TODO: Fill this in

  #### Source ¶

  Freeny, A. E. (1977). A Portable Linear Regression Package with Test Programs. Bell Laboratories memorandum.

  #### References ¶

  Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988). The New S Language. Monterey: Wadsworth & Brooks/Cole.

  #### Examples ¶

      t = tblish.dataset.freeny;

      summary (t)

      tblish.examples.plot_pairs (removevars (t, "date"))

      # TODO: Create linear model and print summary

      # TODO: Linear model plot