Chapter 5: Matrix Approaches to Simple Linear Regression
Chapter 5: Matrix Approaches to Simple Linear Regression
Chapter 5: Matrix Approaches to Simple Linear Regression
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
Correlation MatricesOverview<strong>Matrix</strong> AlgebraAlgebraMore MatricesGeneral <strong>Linear</strong>ModelOther <strong>Matrix</strong>Products➤ More Matrices➤ The One➤ Means➤ Fitted Values➤ Residuals➤ SSCP➤ Covariance <strong>Matrix</strong>➤ CorrelationMatrices➤ Sums of Squares➤ SquaredCorrelation➤ b Variance● Once the covariance matrix is obtained, the correlationmatrix is easily obtained.● Let D be a diagonal matrix consisting of the standarddeviation of all variables (the square root of the diagonalelements of the covariance matrix).● The matrix expression for the correlation matrix is:CORR = D −1 COV D −1Wrapping Lecture 17 UpPsychology 790