The regression simple sample tool performs repeated samples (without replacement) from the data provided, computes the least squares regression slope relating two variables, and accumulates the resulting slopes. From the **Data** menu select **Built-in** for a dataset from the archive or **Import…** to use your own data. Imported data should be in tab-delimited text format with variable names in the first row.

You will then see the first row of the data and a drop-down menu from which to choose the columns of your data table you wish to relate. When you select the columns, the tool will make a scatterplot of the data and show a least squares regression line. The means of the two variables and the slope of the line are shown to the right of the scatterplot.

To choose different columns, select the **Change Variable** command from the **Data** menu.

Now specify the size of the samples and the number of samples to draw.

Click the **Run** button. As a sample is drawn, the corresponding points highlight on the scatterplot and the least squares slope corresponding to those points is drawn on the plot. The scatterplot shows a “sheaf” of regression lines fit for each sample. The lower graph is a histogram of the slopes of the samples as they are drawn. It also shows limits on a middle portion of those means. You can drag the flags at the edges to locate a middle fraction of the slopes. When you do this, the scatterplot of the data shows the corresponding slope limits with red lines.

- Use the Data menu to enter a data set (circled in Red)
- Use built-in data (includes data for exercises in Intro Stats)
- Import data from a tab-delimited text file
- Paste data from the clipboard

- Select X and Y variables from the dataset
- The scatterplot will plot them (circled in Green)

- Choose a Sample size and Number of Samples. Click Run (circled in Blue)
- Selected cases highlight in the scatterplot and a regression for those cases is shown
- Slopes accumulate in the histogram

- Drag the limits to identify a central region (circled in Black). Observe the corresponding limits in the scatterplot