Applied Linear Models                   Spring 2011


Course Info

Assignments

Date PostedHand-in ProblemsRelated Topics /Sections TextDiscussion Date
03141.3, 1.5, 1.7, 1.9, 1.13, 1.16, 1.18, 1.19, 1.20, 1.29, 1.30, 1.32, 1.33, 1.34, 1.41;  5.5, 5.8, 5.29, 5.30, 5.31
  • Simple Linear Regression in Matrix form
  • Least Sqaure Estimate (LSe) and its Interpretations
  • Properties of LSE (LS Estimator), Gauss-Markov Theorem/
Text: Ch~1, Ch~5 and familiarity with SLR in R
0324
04112.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.8, 2.14, 2.18, 2.21, 2.22, 2.31, 2.32; 3.1, 3.2, 3.3, 3.4;  6.1, 6.2, 6.3, 6.5, 6.9, 6.14, 6.22, 6.24, 6.25; 8.4, 8.21, 8.22, 8.23, 8.24, 8.34
  • Multiple Linear Regression
  • Inferences: Confidence Interval, Prediction Intervals; Hypothesis Tests, P-values and Connection among them.
  • Diagnosis and Remedial Measures
  • Regression with Qualitative variables, Modeling with Indicator variables
  • Polynomial regression, Interactive predictors
 Text: Ch~2 (except 2.11), Ch~3, Ch~6, Ch~8
0421

R and Softwares

Data Sets and Supplemental

Links


Updated: 110614 by C. Andy Tsao                                     Document made with KompoZer