Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.3 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TRINKLER Richard | 67 |
| 4 | MORAL Juan José | 68 |
| 6 | WEIBEL Peter | 69 |
| 8 | LUCHS Jürg | 68 |
| 9 | THALMANN Robert | 75 |
| 10 | MARTINELLI Giuseppe | 74 |
| 12 | MARTINEZ Paulino | 80 |
| 14 | BERNAUDEAU Jean-René | 64 |
| 16 | ALGERI Vittorio | 68 |
| 17 | DUTEIL Francis | 69 |
| 28 | VON LÖFFELHOLZ Friedrich | 70 |
| 36 | LADRÓN Rafael | 74 |
| 37 | TROTT Wilfried | 72 |
| 39 | THALER Klaus-Peter | 60 |