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 = -0.5 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
de Jong
1
72 kgHealy
2
65 kgHaest
3
70 kgDonovan
4
70 kgvan der Tuuk
8
64 kgBarré
9
68 kg
1
72 kgHealy
2
65 kgHaest
3
70 kgDonovan
4
70 kgvan der Tuuk
8
64 kgBarré
9
68 kg
Weight (KG) →
Result →
72
64
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE JONG Timo | 72 |
| 2 | HEALY Ben | 65 |
| 3 | HAEST Kevin | 70 |
| 4 | DONOVAN Mark | 70 |
| 8 | VAN DER TUUK Danny | 64 |
| 9 | BARRÉ Louis | 68 |