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 = 24 * weight - 1525
This means that on average for every extra kilogram weight a rider loses 24 positions in the result.
Pollentier
5
62 kgVilamajo
9
70 kgNilsson
10
63 kgFernández
19
68 kgDelgado
30
64 kgSchuiten
44
83 kgMartinez
990
80 kg
5
62 kgVilamajo
9
70 kgNilsson
10
63 kgFernández
19
68 kgDelgado
30
64 kgSchuiten
44
83 kgMartinez
990
80 kg
Weight (KG) →
Result →
83
62
5
990
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | POLLENTIER Michel | 62 |
| 9 | VILAMAJO Jaime | 70 |
| 10 | NILSSON Sven-Åke | 63 |
| 19 | FERNÁNDEZ Juan | 68 |
| 30 | DELGADO Pedro | 64 |
| 44 | SCHUITEN Roy | 83 |
| 990 | MARTINEZ Paulino | 80 |