Slope: what it means and how to read it

In the report: Slope — The least-squares coefficient B of the last predictor of the step, the other predictors of the model held fixed — computed on the data as they are.

How to read it

The same number as B of STATS_LINEAR for this predictor; the bootstrap adds an interval that does not rely on normal errors.

In plain words

A teacher wanted to know how many more marks go with one more hour of study. She asked 40 students, and the slope came out 5: students who studied one hour more got, on average, 5 points more. It is worked out on her 40 students just as they are, and it is the same number as B from STATS_LINEAR. When sleep is listed before hours, the 5 compares students who slept the same amount. The bootstrap then adds a range around it, here 3.2 to 6.8. Now she can say that 5 is her best number, and that another group of students could easily give something between 3.2 and 6.8.

How it is computed

B from ordinary least squares, as STATS_LINEAR

Example

The cell with Slope is selected in each report; point at a label to see its note.

  • — the sample data (50 rows) the examples use
  • — =STATS_BOOTSTRAP(Data!A1:T51, "y", "x1,x2", 2000, "pairs", 0.95)

Where you see it

Get it in your sheet

One formula in a cell gives the whole report, Slope included. ALS Stats is a free add-on for Google Sheets™.

Install ALS Stats from Google Workspace Marketplace (opens in a new tab)