Mean square: what it means and how to read it

In the report: MS — The sum of squares divided by its degrees of freedom.

How to read it

F is MS Regression divided by MS Residual.

In plain words

A teacher's table showed 450 for the part of the differences in marks that her guess from study hours matches, and 150 for the part left over. But the two rest on very different amounts of information: the matched part on 1 column, the left-over part on 38 degrees of freedom from her 40 pupils. So the two totals could not be compared fairly. She looked at MS, which gives each part per degree of freedom: 450 for the matched part and about 4 for the left-over part. Now she can see the matched part is far bigger than the leftover noise. Set against each other, these two give the main result of the table.

How it is computed

MS = SS / df

Example

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

  • — the sample data (50 rows) the examples use
  • — =STATS_LINEAR(Data!A1:T51, "y", "x1,x2", 0)
  • — old syntax: regression steps, one-sample test against 15 =STATS_ANALYZE(Data!A1:T51, "linear(y|x1|x2) oneSample(x1|15)")

Where you see it

Get it in your sheet

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

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