# Regression

• ### Steps in a Statistical Study

This outline, appropriate for an introductory statistics course, describes steps in a statistical study including identifying the question, designing a study, collecting data, analyzing data and making conclusions.
• ### Group Guide

This webpage includes teaching tips for forming groups and utilizing groups for projects.

This webpage shows a grading rubric for group projects.
• ### Incorporating Data Analysis Projects into Introductory Statistics

This 21 page pdf file includes teaching tips for using projects when teaching statistics such as group formation and grading rubrics. This site provides sample projects on data and probability summaries, hypothesis testing and simple linear regression.
• ### Guide to SPSS 10.1 or 11.0 for Windows

This introductory tutorial for SPSS 10.1 and 11.0 for Windows explains how to enter and summarize data and groups of data and to generate graphs.
• ### Data Collection: Data Cleaning Assignment

This activity guides students through the process of checking the validity of data, performing summary analysis, constructing box plots, and determining whether significant differences exist. The data comes from a study of mineral levels in older adults and is available in Minitab, Excel, SAS, and text formats.
• ### Practical Analysis of Nutritional Data

This online textbook provides information on the statistical analysis of nutritional data. Techniques covered include data cleaning, descriptive statistics, histograms, graphics, scatterplots, outlier identification, regression and correlation, confounding, and interactions. Each chapter includes exercises with real data and self-tests to be used with SPSS.
• ### Case Studies in Statistics

This site lists a set of case studies that cover regression topics, random number calculations of pi, as well as limit theorems. On the individual case study pages are the descriptions and/or instructions.
• ### Graphical Techniques: By Problem Category (Engineering Statistics Handbook)

This part of the NIST Engineering Statistics handbook describes different graphs and plots used in Exploratory Data Analysis.
• ### Measurement Process Characterization (Engineering Statistics Handbook)

This chapter of the NIST Engineering Statistics handbook describes the measurement process characterization with discussions of control, calibration, gauge studies, and uncertainty analysis, and a set of case studies.