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 - 25
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Ockers
4
61 kgDerycke
6
70 kgImpanis
11
69 kgSchulte
16
85 kgJanssens
21
68 kgVan Looy
41
73 kgCerami
49
72 kg
4
61 kgDerycke
6
70 kgImpanis
11
69 kgSchulte
16
85 kgJanssens
21
68 kgVan Looy
41
73 kgCerami
49
72 kg
Weight (KG) →
Result →
85
61
4
49
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | OCKERS Stan | 61 |
| 6 | DERYCKE Germain | 70 |
| 11 | IMPANIS Raymond | 69 |
| 16 | SCHULTE Gerrit | 85 |
| 21 | JANSSENS Marcel | 68 |
| 41 | VAN LOOY Rik | 73 |
| 49 | CERAMI Pino | 72 |