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 = -2.2 * weight + 173
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORNU Dominique | 78 |
| 2 | COZZA Steven | 70 |
| 4 | NEYENS Maarten | 74 |
| 5 | DE KETELE Kenny | 66 |
| 11 | MERTENS Tim | 73 |
| 13 | NEIRYNCK Stijn | 78 |
| 15 | BRAMMEIER Matt | 72 |
| 19 | STROETINGA Wim | 69 |
| 23 | LUND Anders | 65 |
| 25 | DEGAND Thomas | 63 |
| 27 | BAKELANTS Jan | 67 |
| 32 | CALLEEUW Joeri | 71 |
| 35 | DE BAAT Arjen | 66 |
| 41 | VANTOMME Maxime | 63 |
| 44 | DEROO David | 61 |
| 56 | MARTIN Dan | 59 |