A SIMPLE HEURISTIC NOTE ON RANDOM
SLOPES AND INTERCEPTS COEXISTING IN REGRESSION
Gregory L. Light
Department of Finance
Providence College
Providence, Rhode Island, 02918, USA
Abstract. We present a new treatment on the problem in simple linear regression that has random disturbances in both the intercept and the slope by an ad hoc but heuristic example. Our approach is distinguished by its simplicity and estimation unbiasedness.
AMS Subject Classification: 62J05, 62J12, 62J99
Key Words and Phrases: regression random coefficients, heteroskedasticity


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DOI: 10.12732/ijam.v29i3.11

Volume: 29
Issue: 3
Year: 2016