Applied Regression and Experimental Design

MATH 560 - Applied Regression and Experimental Design (3-0-3)

Simple linear regression. Testing of intercept and slope. Multiple linear regression. Estimation parameters and testing of regression coefficients. Prediction and correlation analysis. Analysis of variance technique. Completely randomized and randomized block designs. Latin square design. Incomplete block design. Factorial design, 2k factorial design and blocking and confounding in 2k factorial designt. Note: (Students cannot receive credit for both MATH 560 and STAT 430 or SE 535)