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 - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOERTS Jans | 78 |
| 2 | BETTINI Paolo | 58 |
| 3 | FRASER Gordon | 71 |
| 4 | DEGANO Enrico | 68 |
| 7 | AGGIANO Elio | 63 |
| 8 | MORI Massimiliano | 77 |
| 11 | FLECHA Juan Antonio | 72 |
| 12 | HORRILLO Pedro | 76 |
| 14 | USOV Alexandre | 63 |
| 16 | HORNER Chris | 70 |
| 17 | MILLER Graeme | 72 |
| 18 | NAUDUŽS Andris | 78 |
| 20 | SANDSTØD Michael | 74 |