J. Calvin Berry

Associate Professor

[J. Calvin Berry's mainpage]

Mathematics Department -- University of Louisiana at Lafayette

Statistics 428 files


Files for examples:

  • Bumblebees and pollen example.
    • pollen.sas bumblebees and pollen example SAS command file with data in the file pollen.dat
    • pollenD.sas bumblebees and pollen example SAS command file with data inline.
    • pollen.lst bumblebees and pollen example output
  • Ragwort flea beetle example.
  • Electricity load example.
  • Motor vehicle deaths example.
  • Iowa corn yield example.
  • Toxic effects of copper and zinc in minnow larvae example.
    • cuzn.sas Toxic effects of copper and zinc in minnow larvae example SAS command files with data in the file cuzn.dat
    • cuzn.lst Toxic effects of copper and zinc in minnow larvae example output

PART 2: Regression.

Chapters 9 and 10 and simple linear regression handout.

Introduction to least squares estimation and the simple linear regression model. A formal test for systematic lack of fit.

More complicated regression models handout and meat pH example handout.

Polynomial models, transformations, comparison of regression lines, piecewise linear models, comparison of regression curves, and inverse prediction (calibration).

Models with two or more measured explanatory variables handout.

Interpretation of regression coefficients for a model with two or more measured quantitative explanatory variables. The sequential approach to fitting a model with two or more measured explanatory variables.

Model selection handout.

Part 1: The all possible regressions approach to model selection. Part 2: Stagewise methods for variable selection.

PART 3: Second visit to means models.

Cell means models and inference for linear combinations of means handout.

Inference for cell means models: one and two way classifications, choice of contrasts, orthogonal contrasts, orthogonal polynomial contrasts, simple and main effects, interaction.

PART 4: Blocking and covariates.

Randomized complete block designs and analysis of covariance handout.