Marc Pyeatt ran a Fama and French (2015) five-factor regression model for a stock's monthly excess returns and obtained the following panel for the regression coefficients. The five factors are, in their orders, the market excess return, SMB, HML, RMW, and CMA.

	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
Intercept	3.44	2.21	1.55	0.13	-1.00	7.88
X Variable 1	0.92	0.70	1.32	0.19	-0.48	2.32
X Variable 2	0.21	1.06	0.20	0.84	-1.90	2.33
X Variable 3	0.66	1.24	0.54	0.59	-1.81	3.14
X Variable 4	-2.31	1.65	-1.40	0.17	-5.63	1.00
X Variable 5	-3.18	2.11	-1.51	0.14	-7.41	1.04

The regression results show that the stock significantly outperformed the five-factor benchmark.

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