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 = 1.3 * weight - 70
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Pollentier
2
62 kgNilsson
3
63 kgVilamajo
8
70 kgFernández
20
68 kgDelgado
29
64 kgSchuiten
32
83 kgMartinez
37
80 kg
2
62 kgNilsson
3
63 kgVilamajo
8
70 kgFernández
20
68 kgDelgado
29
64 kgSchuiten
32
83 kgMartinez
37
80 kg
Weight (KG) →
Result →
83
62
2
37
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | POLLENTIER Michel | 62 |
| 3 | NILSSON Sven-Åke | 63 |
| 8 | VILAMAJO Jaime | 70 |
| 20 | FERNÁNDEZ Juan | 68 |
| 29 | DELGADO Pedro | 64 |
| 32 | SCHUITEN Roy | 83 |
| 37 | MARTINEZ Paulino | 80 |