login
You are not logged in.
search:
AMSER logo



Title: Basic Linear Correlation and Regression: Data-Import Version
Url: http://facultysites.vassar.edu/lowry/corr_big.html
Creator: Lowry, Richard
Publisher: Vassar College
Description: The following pages calculate r, r-squared, regression constants, Y residuals, and standard error of estimate for a set of N bivariate values of X and Y, and perform a t-test for the significance of the obtained value of r. Allows for import of raw data from a spreadsheet; for samples of any size, large or small.
LC Classification: Science -- Mathematics -- Mathematical statistics -- Multivariate analysis -- Regression analysis. Correlation analysis
Science -- Mathematics -- Mathematical statistics -- Study and teaching. Research
Science -- Mathematics -- Mathematical statistics -- Tolerance regions. Confidence intervals
Science -- Mathematics -- Probabilities -- Study and teaching. Research
GEM Subject: Mathematics -- Statistics
Mathematics -- Probability
Key Concept: Mathematics -- Confidence intervals
Mathematics -- Correlation
Mathematics -- Probability
Mathematics -- Statistics
Date Issued: 1998
Resource Type: Instructional Material -- Model
Instructional Material -- Demonstration
Instructional Material -- Interactive Simulation
Format: Document -- HTML
Application -- Java
Audience: Educator
Learner
Education Level: Higher Education
Higher Education -- Undergraduate (Lower Division)
Higher Education -- Undergraduate (Upper Division)
Higher Education -- Technical Education (Upper Division)
Higher Education -- Technical Education (Lower Division)
Vocational/Professional Development Education
Language: English
Rights: Richard Lowry
Access Rights: Free access
Screenshot
Full Image
Source: CAUSEweb
Full Record Views: 6
Resource URL Clicks: 15
Cumulative Rating: NOT YET RATED
Report a Problem with this Resource Record

Resource Comments

(no comments available yet for this resource)

user login
Username:
Password:
why log in?
Manage your resources
Save, organize, and share resources that you find.

Subscribe to bulletins
Automatically be notified about new resources that match your interests.

It's easy, fast, and FREE!
AMSER =
FREE ONLINE
RESOURCES
for the
CLASSROOM

Copyright 2024 Internet Scout Resource Metadata
Copyright 2024 Internet Scout
NSF NSDL University of Wisconsin Internet Scout
Leave Feedback
http://amser.org/