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 = -0.6 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Dolman
2
71 kgKarstens
3
74 kgPost
5
79 kgZoet
7
77 kgPaul
8
79 kgSteevens
13
73 kgKrekels
16
73 kgPijnen
20
72 kg
2
71 kgKarstens
3
74 kgPost
5
79 kgZoet
7
77 kgPaul
8
79 kgSteevens
13
73 kgKrekels
16
73 kgPijnen
20
72 kg
Weight (KG) →
Result →
79
71
2
20
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DOLMAN Evert | 71 |
| 3 | KARSTENS Gerben | 74 |
| 5 | POST Peter | 79 |
| 7 | ZOET Bart | 77 |
| 8 | PAUL Rinus | 79 |
| 13 | STEEVENS Harry | 73 |
| 16 | KREKELS Jan | 73 |
| 20 | PIJNEN René | 72 |