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 = 0.8 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BUGNO Gianni | 68 |
| 3 | CHIAPPUCCI Claudio | 67 |
| 10 | ARGENTIN Moreno | 66 |
| 12 | JASKUŁA Zenon | 76 |
| 15 | BORTOLAMI Gianluca | 73 |
| 31 | VANZELLA Flavio | 78 |
| 35 | GOTTI Ivan | 65 |
| 43 | BRAMATI Davide | 72 |