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 = 17 * weight - 758
This means that on average for every extra kilogram weight a rider loses 17 positions in the result.
Fernández
1
68 kgPollentier
3
62 kgNilsson
5
63 kgMartinez
29
80 kgSchuiten
990
83 kgVilamajo
990
70 kgDelgado
990
64 kg
1
68 kgPollentier
3
62 kgNilsson
5
63 kgMartinez
29
80 kgSchuiten
990
83 kgVilamajo
990
70 kgDelgado
990
64 kg
Weight (KG) →
Result →
83
62
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FERNÁNDEZ Juan | 68 |
| 3 | POLLENTIER Michel | 62 |
| 5 | NILSSON Sven-Åke | 63 |
| 29 | MARTINEZ Paulino | 80 |
| 990 | SCHUITEN Roy | 83 |
| 990 | VILAMAJO Jaime | 70 |
| 990 | DELGADO Pedro | 64 |