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 = 0.2 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WILCHES Juan Pablo | 56 |
| 3 | ROGLIČ Primož | 65 |
| 4 | ALIZADEH Hossein | 62 |
| 6 | VAUBOURZEIX Thomas | 70 |
| 8 | TEDESCHI Mirko | 69 |
| 9 | ROGINA Radoslav | 70 |
| 12 | JIAO Pengda | 65 |
| 13 | KOSHEVOY Ilia | 62.5 |
| 14 | ZAMPARELLA Marco | 67 |
| 16 | JABRAYILOV Samir | 52 |
| 20 | YAMAMOTO Genki | 62 |
| 21 | GRMAY Tsgabu | 63 |
| 22 | POZZO Mattia | 68 |
| 24 | KOGUT Volodymyr | 73 |