where the subscript 1, as before, denotes the dependent variable Y (r12 means correlation coefficient between Y and X2, and so on) and where use is made of the fact the coefficient of correlation of a variable with respect to itself is always 1(rn = r22 = ■ ■ ■ = rkk = 1).
938 APPENDIX C: THE MATRIX APPROACH TO LINEAR REGRESSION MODEL
From the correlation matrix R one can obtain correlation coefficients of first order (see Chapter 7) and of higher order such as r12.34...(See exercise C.4.) Many computer programs routinely compute the R matrix. We have used the correlation matrix in Chapter 10.
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