STAT 430: Applied Regression Analysis

Course Description

Topics include single variable linear regression, multiple linear regression and polynomial regression. Model checking techniques based on the analysis of residuals will be emphasized. Remedies to model inadequacies, such as transformations, will also be covered along with basic time series analysis and forecasting using moving averages and autoregressive models with prediction errors. Statistical packages will be used. A minimum grade of C- is required in the prerequisite course(s). Students are encouraged to takeMATH 227beforeSTAT 430. Students cannot receive credit for bothSTAT 430andSTAT 530. (F, W).