Course: Regression Analysis

Skills and Tools: Simple Linear Regression, Model Building, Confidence Interval, t-distribution, F-distribution, Statistical Inference, Hypothesis Testing, t-test, F-test, P-value, Least square estimators, Simple coefficient of determination: R^2, Simple correlation coefficient: r, Sum of squares, Point estimators, Point predictions

SAS Problem: Q2 (page 8-18)

Course: Regression Analysis

Skills and Tools: Multiple Linear Regression, Model Building,Durbin-Watson test, Autocorrelation, Z-score, Matrix form, Vectors, Confidence Interval, t-distribution, F-distribution, Statistical Inference, Hypothesis Testing, t-test, F-test, P-value, Least square estimators, Multiple coefficient of determination: R^2, Adjusted R^2, Multiple correlation coefficient: R, Sum of squares, Point estimators, Point predictions, Model Adequacy Checking, Inference Assumptions

SAS Problem: Q3 (page 7-17)

Course: Regression Analysis

Skills and Tools: Multiple Linear Regression, Model Building,Multicollinearity, Analysis of Variance, C-statistics, MSres, SSres, SST, SSR, MSR, Confidence Interval, t-distribution, F-distribution, Statistical Inference, Hypothesis Testing, t-test, F-test, P-value, Least square estimators, Multiple coefficient of determination: R^2, Adjusted R^2, Multiple correlation coefficient: R, Sum of squares, Point estimators, Point predictions, Model Adequacy Checking, Inference Assumptions, residuals, Diagnostics for Leverage and Influence, outliers, influential points, leverage points, R student, Cook's distance, DFFITS, DFBETAS

SAS Problem: Q2 (page 6-9)