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Regression Analysis and Estimating Regression Models

In: Quantitative Corporate Finance

Author

Listed:
  • John B. Guerard Jr.

    (McKinley Capital Management, LLC)

  • Anureet Saxena

    (McKinley Capital Mgmt, LLC)

  • Mustafa N. Gültekin

    (University of North Carolina Chapel Hill)

Abstract

In February 2020, the US unemployment rate was at a 50-year low. One of the great economic problems of the COVID pandemic is the dramatic increase in unemployment claims. In this chapter, we specifically address the unemployment rate in 2020 as the COVID virus closed down the US economy in March 2020, with profound and highly significant impacts on US output, as measured by gross domestic product. Regression analysis is the primary technique discussed and estimated in this chapter. More specifically, regression analysis seeks to find the “line of best fit” through the data points. The regression line is drawn to best approximate the relationship between the two variables. Techniques for estimating the regression line (i.e., its intercept on the Y axis and its slope) are the subject of this chapter.

Suggested Citation

  • John B. Guerard Jr. & Anureet Saxena & Mustafa N. Gültekin, 2022. "Regression Analysis and Estimating Regression Models," Springer Books, in: Quantitative Corporate Finance, edition 3, chapter 0, pages 291-330, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-87269-4_12
    DOI: 10.1007/978-3-030-87269-4_12
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