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 = 0.4 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Kuiper
2
69 kgKarstens
3
74 kgRaas
17
72 kgViejo
18
64 kgDíaz
24
72 kgAja
27
66 kgNistal
42
68 kgvan den Hoek
43
77 kg
2
69 kgKarstens
3
74 kgRaas
17
72 kgViejo
18
64 kgDíaz
24
72 kgAja
27
66 kgNistal
42
68 kgvan den Hoek
43
77 kg
Weight (KG) →
Result →
77
64
2
43
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KUIPER Hennie | 69 |
| 3 | KARSTENS Gerben | 74 |
| 17 | RAAS Jan | 72 |
| 18 | VIEJO José Luis | 64 |
| 24 | DÍAZ Ventura | 72 |
| 27 | AJA Gonzalo | 66 |
| 42 | NISTAL Tomás | 68 |
| 43 | VAN DEN HOEK Aad | 77 |