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# Simple Linear Regression resources

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### 02. Video Tutorials (2)

Create dummy variables from an existing categorical variable in SPSS
This video explains how to use SPSS to dummy code categorical variables. Often, this is required if you want to use the variable in regression, but it has more than 2 categories. This resource is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Vikki O'Neill, Queen's University Belfast.
Simple Linear Regression - Video Tutorial with Dr Iain Weir
In this video Dr Iain Weir (University of the West of England) introduces Simple Linear Regression. A written introduction using the same examples is available as a Quick Reference resource at this site. You could also use the Test Yourself Quiz after reviewing this video.

### 03. Teach Yourself Worksheets (5)

Simple Linear Regression - Introduction
A written introduction to Simple Linear Regression using the same examples as those used in the Video Tutorial available at this site. This resource was contributed by Dr Iain Weir of the University of the West of England.
Simple Linear Regression (Worksheet 1)
Using an example on energy consumption, this teach yourself worksheet introduces simple linear regression and how to fit and interpret Linear Regression models using SPSS.
Simple Linear Regression (Worksheet 2)
Using an example on calcium intake, this teach yourself worksheet introduces simple linear regression and how to fit and interpret Linear Regression models using SPSS. Note that the SPSS data set calcium.sav referred to in the worksheet is also available here.
Simple Linear Regression (Worksheet 2) SPSS Data Set calcium.sav
This is a zip file containing the SPSS data set called calcium.sav for use with Simple Linear Regression (Worksheet 2) which considers an example on calcium intake. Note: please save this file to your PC before extracting its contents.
Simple Linear Regression Assumptions and Predictions (Worksheet)
This teach yourself worksheet looks at the assumptions underlying simple linear regression, and how to obtain confidence intervals and prediction intervals using SPSS.

### 04. Tests and Quizzes (2)

Linear Regression - Numbas
2 questions. Both simple regression. First with 8 data points, second with 10. Find $a$ and $b$ such that $Y=a+bX$. Then find the residual value for one of the data points. Numbas resources have been made available under a Creative Commons licence by Bill Foster and Christain Perfect, School of Mathematics & Statistics at Newcastle University.
Simple Linear Regression - Quiz
Try this self-test quiz AFTER reviewing the Teach Yourself video tutorial on SIMPLE Linear Regression available at this site.This quiz was contributed by Dr Iain Weir of the University of the West of England.

### 07. Community Project (7)

11 Simple linear regression (Workshop) SOURCE
This PowerPoint is a workshop on Pearson Correlation and Simple Linear Regression. This resource has been contributed to the statstutor Community Project by Peter Samuels, Birmingham City University under a Creative Commons licence CC-BY-SA and reviewed by Ellen Marshall, University of Sheffield. The zip file contains four associated data files, the source file and the associated statstutor metadata spreadsheet.
Correlation/regression in R (SOURCE)
Self-help resource providing an overview of correlation and regression in R. This resource has been made available under a Creative Commons licence by Sofia Maria Karadimitriou and Ellen Marshall, University of Sheffield.
Correlation/regression in SPSS (SOURCE)
Self-help resource providing an overview of correlation and regression in SPSS. This resource has been made available under a Creative Commons licence by Ellen Marshall, University of Sheffield.
Correlation/regression: Simple linear regression in R
Self-help resource providing an overview of simple linear regression in R, used to look for significant relationships between two variables or predict the value of one variable for a given value of the other. This resource has been made available under a Creative Commons licence by Sofia Maria Karadimitriou and Ellen Marshall, University of Sheffield.
Correlation/regression: Simple linear regression in SPSS
Self-help resource providing an overview of simple linear regression in SPSS, used to look for significant relationships between two variables or predict a value of one variable for a given value of the other. This resource has been made available under a Creative Commons licence by Ellen Marshall, University of Sheffield.
Simple linear regression SOURCE
A Quick Reference worksheet on simple linear regression. This resource has been contributed to the statstutor Community Project by Mollie Gilchrist and Peter Samuels, Birmingham City University under a Creative Commons licence CC-BY-SA and reviewed by Ellen Marshall, University of Sheffield. The zip file contains the source file and the associated statstutor metadata spreadsheet.
Simple linear regression: Additional information SOURCE
A Quick Reference worksheet containing a discussion of additional issues to do with simple linear regression. This resource has been contributed to the statstutor Community Project by Mollie Gilchrist and Peter Samuels, Birmingham City University under a Creative Commons licence CC-BY-SA and reviewed by Ellen Marshall, University of Sheffield. The zip file contains the source file and the associated statstutor metadata spreadsheet.

### 08. Staff Resources (5)

Data for SPSS Workbook for New Statistics Tutors (Excel file)
Data sets for the self-study training resource for new statistics tutors entitled "SPSS Workbook for New Statistics Tutors". These were developed by Ellen Marshall (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).
Introductory Statistics and Hypothesis Testing (PowerPoint Workshop)
These slides are aimed to be used in a workshop to train mathematics (or new statistics) tutors who need to provide statistics support. They cover key topics including hypothesis testing and choosing the right test. These slides were developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall (University of Sheffield) and reviewed by Ruth Fairclough (University of Wolverhampton).
Solutions for SPSS Workbook for New Statistics Tutors
Solutions to the self-study training resource for new statistics tutors entitled "SPSS Workbook for New Statistics Tutors". These were developed and contributed to the statstutor Community Project by Ellen Marshall (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).
SPSS Workbook for New Statistics Tutors
This is a paper-based scenario aimed to be used as part of the tutor training workshop using the resource entitled "Introductory Statistics and Hypothesis Testing". This was developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).
The Statistics Tutor's Quick Guide to Commonly Used Statistical Tests
A handy quick guide to statistical tests and techniques for those providing statistics support. This covers when to use each technique along with the interpretation of results, checking assumptions and what to do if the assumptions are not met. This was developed by the MASH Centre at the University of Sheffield and contributed to the statstutor Community Project by Ellen Marshall (University of Sheffield) and Alun Owen (University of Worcester) and reviewed by Jean Russell and Nick Fieller, (University of Sheffield).

### 10. Workshops (1)

11 Simple linear regression (Workshop)
This PowerPoint is a workshop on Pearson Correlation and Simple Linear Regression. This resource has been contributed to the statstutor Community Project by Peter Samuels, Birmingham City University and reviewed by Ellen Marshall, University of Sheffield. The zip file contains four associated data files.

### 11. Quick reference worksheet (2)

Simple linear regression
A Quick Reference worksheet on simple linear regression. This resource has been contributed to the statstutor Community Project by Mollie Gilchrist and Peter Samuels, Birmingham City University and reviewed by Ellen Marshall, University of Sheffield.