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 = -1.3 * weight + 124
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ANDRIATO Rafael | 67 |
| 3 | COLEDAN Marco | 83 |
| 5 | NECHITA Andrei | 71 |
| 9 | SEABRA Renato | 67 |
| 10 | BELTRÁN Edward | 59 |
| 12 | FORTIN Filippo | 78 |
| 29 | PANIZO Gregolry | 72 |
| 33 | TEDESCHI Mirko | 69 |
| 39 | DAL COL Andrea | 80 |
| 43 | NAZARET Magno | 65 |
| 52 | AFFONSO Murilo | 63 |
| 55 | ZHUPA Eugert | 78 |
| 68 | FIORILLI Tiago | 63 |
| 72 | RAMOS Kléber | 65 |
| 76 | NIETO Edgar | 58 |