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 = 1.8 * weight - 103
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Pollentier
3
62 kgFernández
4
68 kgNilsson
7
63 kgVilamajo
17
70 kgDelgado
36
64 kgSchuiten
50
83 kg
3
62 kgFernández
4
68 kgNilsson
7
63 kgVilamajo
17
70 kgDelgado
36
64 kgSchuiten
50
83 kg
Weight (KG) →
Result →
83
62
3
50
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | POLLENTIER Michel | 62 |
| 4 | FERNÁNDEZ Juan | 68 |
| 7 | NILSSON Sven-Åke | 63 |
| 17 | VILAMAJO Jaime | 70 |
| 36 | DELGADO Pedro | 64 |
| 50 | SCHUITEN Roy | 83 |