| Tag | Value |
|---|---|
| file | Inferential_Statistics_vufsw-r_squared-1238-en_vufsw-r_squared-1238-en |
| name | vufsw-r squared-1238-en |
| section | inferential statistics/regression/r squared |
| type | schoice |
| solution | FALSE, FALSE, TRUE, FALSE |
| Type | interpreting output |
| Program | calculator |
| Language | English |
| Level | statistical thinking |
A multiple regression analysis gives the following results:
| Model | Sum of Squares | df | Mean Square | F | Sig. |
| Regression | 81.580 | 2 | 40.790 | 91.932 | .000 |
| Residual | 393.115 | 886 | .444 |
|
|
| Total | 474.695 | 888 |
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How much of the variance of Y is explained by the independent variables?
You can calculate the R2 by (total sum of squares - residual) / total sum of squares = 0.172
If you want to know more about the explained variance, the R2 watch this clip.