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 = -1.9 * weight + 172
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN LERBERGHE Bert | 83 |
| 2 | PEELAERS Jeff | 75 |
| 3 | RAEYMAEKERS Mattias | 68 |
| 4 | MCLAY Daniel | 72 |
| 8 | VANDENBOGAERDE Jens | 77 |
| 9 | SWEECK Laurens | 71 |
| 13 | SWEECK Diether | 71 |
| 16 | DUNNE Conor | 88 |
| 19 | DE BUYST Jasper | 72 |
| 23 | KERF Jerome | 71 |
| 25 | VALLÉE Boris | 79 |
| 58 | SWEECK Hendrik | 72 |
| 78 | FOLSACH Casper | 81 |
| 88 | WILLEMS Kenny | 72 |
| 109 | VAN AKEN Matthias | 56 |