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 = 0.7 * weight - 19
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Moser
2
79 kgPollentier
13
62 kgVilamajo
18
70 kgDelgado
23
64 kgDe Vlaeminck
82
74 kg
2
79 kgPollentier
13
62 kgVilamajo
18
70 kgDelgado
23
64 kgDe Vlaeminck
82
74 kg
Weight (KG) →
Result →
79
62
2
82
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOSER Francesco | 79 |
| 13 | POLLENTIER Michel | 62 |
| 18 | VILAMAJO Jaime | 70 |
| 23 | DELGADO Pedro | 64 |
| 82 | DE VLAEMINCK Roger | 74 |