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 = 0.1 * weight + 10
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GILING Bas | 72 |
| 3 | LELAY David | 67 |
| 5 | DION Renaud | 65 |
| 11 | GADRET John | 58 |
| 12 | SPRICK Matthieu | 71 |
| 13 | SOUTHAM Tom | 69 |
| 21 | LANGELLA Anthony | 76 |
| 22 | MAINGUENAUD Frédéric | 68 |
| 23 | DURET Sébastien | 62 |
| 24 | LEQUATRE Geoffroy | 64 |
| 26 | TEN DAM Laurens | 67 |
| 27 | NAULLEAU Alexandre | 72 |