In this paper we consider a linear regression model when error terms obey a multivariate
t distribution, and examine the effects of departure from normality of error terms on the exact distributions of the coefficient of determination (say,
R2) and adjusted
R2 (say,
R2). We derive the exact formulas for the density function, distribution function and
m-th moment, and perform numerical analysis based on the exact formulas. It is shown that the upward bias of
R2 gets serious and the standard error of
R2 gets large as the degrees of freedom of the multivariate
t error distribution (say, ν
0) get small. The confidence intervals of
R2 and
R2 are examined, and it is shown that when the values of ν
0 and the parent coefficient of determination (say, Φ) are small, the upper confidence limits are very large, relative to the value of Φ.
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