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 - 98
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAKELANTS Jan | 67 |
| 2 | STAMSNIJDER Tom | 76 |
| 3 | DE BAAT Arjen | 66 |
| 4 | POLAZZI Fabio | 63 |
| 8 | MILÁN Diego | 67 |
| 9 | MERTENS Tim | 73 |
| 13 | GAJEK Artur | 74 |
| 16 | ROJAS José Joaquín | 70 |
| 30 | DE JONGE Maarten | 65 |
| 49 | TIMMER Albert | 77 |
| 57 | VAN EMDEN Jos | 78 |
| 58 | GODDAERT Kristof | 72 |
| 76 | SEELDRAEYERS Kevin | 60 |
| 101 | LINDEMAN Adrie | 76 |
| 103 | DRUCKER Jempy | 75 |