Correlation

Relationship Between Two Quantitative Variables: The Correlation

Data Entry, Descriptive Statistics & Scatterplot
Bootstrap Distribution
Permutation Distribution

Enter Data:

Choose Dataset:

Use ID Variable

Name of ID Variable:

Name of X-Variable:

Name of Y-Variable:

Copy and paste columns from a spreadsheet, or enter observations directly:

Statistic for Relationship:

Options:

Smooth Trend

Linear Trend

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Standardize Variables

Edit Title & Subtitle

Title:

Subtitle:

Descriptive Statistics:

Statistic for Describing Relationship:

Select how many bootstrap samples you want to generate:

Options:

Summary Statistics of Bootstrap Distb.

Observed Stat

Bootstrapped Stat

Find Confidence Interval & Percentiles

Select Percentiles:

Show Generated Bootstrap Statistics

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Show Normal Approximation

Adjust Range of x-Axis (Zoom-In)

Select Range:

Fix Random Seed (For Reproducibility)

Download Histogram

Original Dataset:

Dataset From Last Bootstrap Sample:

Summary Statistics for Bootstrap Distribution:

Bootstrap Percentile Confidence Interval:

Percentiles of Bootstrap Distribution:

Statistic for describing relationship:

Select how many permutations you want to generate:

Permute values of:

X-Variable Y-Variable

Options:

Show value of correlation from observed data

Show value of correlation from last permutation

Show statistical summary of permutation distribution

Find quantiles of permutation distribution

Select Percent:

Show on Histogram

Change binwidth of histogram

Select Binwidth:

Adjust range of x-axis

Select Range:

Download Histogram

Original Dataset:

Dataset From Last Permutation: