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 = 0.4 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAST Grégory | 80 |
| 2 | STRAUSS Marcel | 69 |
| 3 | CLERC Aurélien | 71 |
| 4 | ZBERG Beat | 72 |
| 5 | ZAMPIERI Steve | 62 |
| 6 | STALDER Florian | 58 |
| 7 | TSCHOPP Johann | 62 |
| 8 | BEUCHAT Roger | 62 |
| 11 | ALBASINI Michael | 65 |
| 16 | ZBERG Markus | 69 |
| 17 | MOOS Alexandre | 64 |
| 31 | HOLLENSTEIN Reto | 80 |
| 35 | FREI Thomas | 71 |