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 = 2.3 * weight - 134
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOLOBNEV Alexandr | 64 |
| 2 | CELESTINO Mirko | 67 |
| 3 | PELLIZOTTI Franco | 64 |
| 4 | CASAGRANDE Francesco | 64 |
| 5 | POPOVYCH Yaroslav | 64 |
| 6 | TIRALONGO Paolo | 63 |
| 8 | MIHOLJEVIĆ Vladimir | 68 |
| 9 | SCARPONI Michele | 62 |
| 10 | RUMŠAS Raimondas | 64 |
| 14 | PANTANI Marco | 58 |
| 36 | CAUCCHIOLI Pietro | 68 |
| 46 | BASSO Ivan | 70 |