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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FRATTINI Francesco | 60 |
| 5 | GUALDI Mirko | 68 |
| 5 | CELESTINO Mirko | 67 |
| 5 | USHAKOV Serhiy | 73 |
| 6 | GONTCHENKOV Alexander | 74 |
| 6 | STRAZZER Massimo | 68 |
| 6 | SAVOLDELLI Paolo | 72 |
| 7 | SUNDERLAND Scott | 65 |
| 7 | VOGELS Henk | 75 |
| 7 | SIMON François | 70 |
| 8 | GOUGOT Fabrice | 72 |
| 8 | BARTHE Stéphane | 65 |
| 8 | KIRSIPUU Jaan | 80 |
| 9 | LEONI Endrio | 74 |
| 9 | ZANOTTI Marco | 70 |