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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARMSTRONG Lance | 72 |
| 2 | ROMINGER Tony | 65 |
| 3 | NARDELLO Daniele | 74 |
| 4 | BAFFI Adriano | 70 |
| 5 | HEGG Steve | 70 |
| 6 | HAMILTON Tyler | 65 |
| 8 | LUPEIKIS Remigius | 80 |
| 9 | BAUER Steve | 72 |
| 10 | ANDREU Frankie | 77 |
| 11 | PLAZA David | 68 |
| 14 | BOUVARD Gilles | 70 |
| 15 | BOOGERD Michael | 62 |
| 16 | DEKKER Erik | 66 |
| 17 | HORNER Chris | 70 |
| 18 | ANDRIOTTO Dario | 68 |
| 20 | BLAUDZUN Michael | 66 |