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 = 0.1 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GILBERT Philippe | 75 |
| 2 | DUMOULIN Tom | 69 |
| 3 | ANTOMARCHI Julien | 70 |
| 4 | DILLIER Silvan | 75 |
| 5 | MAES Nikolas | 78 |
| 6 | LAENGEN Vegard Stake | 79 |
| 7 | ROSSETTO Stéphane | 68 |
| 8 | REZA Kévin | 71 |
| 9 | LEMOINE Cyril | 73 |
| 10 | LAPORTE Christophe | 76 |