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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTINELLO Silvio | 71 |
| 2 | O'GRADY Stuart | 73 |
| 3 | BLIJLEVENS Jeroen | 70 |
| 4 | BAFFI Adriano | 70 |
| 5 | VOGELS Henk | 75 |
| 6 | MONCASSIN Frédéric | 73 |
| 7 | SMETANINE Serguei | 69 |
| 9 | VOSKAMP Bart | 75 |
| 10 | JEMISON Marty | 71 |
| 11 | BOUVARD Gilles | 70 |
| 12 | STEPHENS Neil | 65 |
| 13 | ZÜLLE Alex | 72 |
| 15 | HINCAPIE George | 83 |