Skip to main content
guest
Join

Help

Sign In
CAstatistics
Home
guest

Join

Help

Sign In
Wiki Home
Recent Changes
Pages and Files
Members

Home

Assessement and Classroom Policies

Citation and Sourcing

Class Notes

Course Outline

Datasets

Demonstrations and Games

JMP Tutorials
 JMP Scripts
 Student Placement Analysis

Resources
 The Projects
 Presentations

Homework
 AP EXAM PREP
 JMP DISCOVERY 2011
 Research Statistics Education
 Visuals and Graphics
Bivariate Data
Edit
0
15
…
0
Tags
No tags
Notify
RSS
Backlinks
Source
Print
Export (PDF)
TUTORIALS:
1.(this page) Linear Regression
2. Linear Regression:
Linear Regression 1
2.Link:
**Transformations to Achieve Linearity**
3. Link: Test of Association 
**Spearman's Rank Order Correlation**
Exploring a Linear Regression Model Using JMP TUTORIAL
Linear Regression Considerations:
Determine if a linear model is a good fit looking at:
Correlation coefficient (r)
Residual plot
Coefficient of determination (rsquared)
Least Squares Line
Density Ellipse
Interpret slope and yintercept
Explore potential of influential or outliers
Use the line of best fit to predict values
Even if one variable is potentially useful to predict another, can we imply correlation > causation?
Javascript Required
You need to enable Javascript in your browser to edit pages.
help on how to format text
Turn off "Getting Started"
Home
...
Loading...
TUTORIALS:
1.(this page) Linear Regression
2. Linear Regression: Linear Regression 1
2.Link: **Transformations to Achieve Linearity**
3. Link: Test of Association  **Spearman's Rank Order Correlation**
Exploring a Linear Regression Model Using JMP TUTORIAL
Linear Regression Considerations: