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 = 0.1 * weight + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DI GRANDE Giuseppe | 58 |
| 2 | GUERINI Giuseppe | 65 |
| 3 | BOOGERD Michael | 62 |
| 4 | TONKOV Pavel | 70 |
| 6 | ZBERG Beat | 72 |
| 7 | PETITO Roberto | 78 |
| 8 | REBELLIN Davide | 63 |
| 9 | PANTANI Marco | 58 |
| 10 | MOOS Alexandre | 64 |
| 11 | SAVOLDELLI Paolo | 72 |
| 12 | HERVÉ Pascal | 62 |
| 14 | GOTTI Ivan | 65 |