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 - 35
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BONGIORNO Francesco Manuel | 56 |
| 4 | ORRICO Davide | 70 |
| 5 | ILIAS Periklis | 69 |
| 7 | RUSCETTA Andrea | 58 |
| 9 | PACCHIARDO Davide | 60 |
| 10 | DI SANTE Antonio | 62 |
| 12 | HALILAJ Redi | 70 |
| 16 | SEFA Ylber | 72 |
| 18 | TIZZA Marco | 58 |
| 24 | CELANO Danilo | 65 |
| 25 | HANDGRAAF Sjors | 66 |
| 28 | SCARTEZZINI Michele | 63 |
| 31 | ZAMPARELLA Marco | 67 |
| 35 | TORRES Sergio | 64 |
| 39 | BOUGLAS Georgios | 71 |
| 48 | HEANEY Marc | 67 |