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 = -0.5 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN HUFFEL Wim | 66 |
| 2 | SIJMENS Nico | 69 |
| 3 | HEPPNER Jens | 69 |
| 5 | ABAKOUMOV Igor | 68 |
| 6 | GRABSCH Ralf | 81 |
| 7 | POITSCHKE Enrico | 73 |
| 12 | ROBERTS Luke | 71 |
| 17 | MÜLLER Martin | 79 |
| 19 | ROOIJAKKERS Piet | 68 |
| 21 | ZONNEVELD Thijs | 63 |
| 22 | TEN DAM Laurens | 67 |
| 23 | LUPAȘ Pavel-Emil | 74 |
| 25 | ARDILA Mauricio Alberto | 58 |
| 28 | CLEMENT Stef | 66 |