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 * weight - 57
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAGUTIN Sergey | 68 |
| 3 | BAZAYEV Assan | 62 |
| 4 | MATTAN Nico | 69 |
| 6 | VAN IMPE Kevin | 75 |
| 8 | TEN DAM Laurens | 67 |
| 9 | CAETHOVEN Steven | 67 |
| 13 | OMLOOP Geert | 78 |
| 15 | ROOIJAKKERS Piet | 68 |
| 16 | HOVELIJNCK Kurt | 75 |
| 18 | EICHLER Markus | 78 |
| 19 | THOMAS Geraint | 71 |
| 25 | SIJMENS Nico | 69 |
| 27 | TRAKSEL Bobbie | 72 |
| 28 | VEELERS Tom | 75 |
| 30 | CHADWICK Glen Alan | 75 |