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 = -0.3 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Schulte
8
85 kgOckers
13
61 kgCerami
21
72 kgImpanis
21
69 kgJanssens
21
68 kgDerycke
21
70 kgVan Looy
21
73 kg
8
85 kgOckers
13
61 kgCerami
21
72 kgImpanis
21
69 kgJanssens
21
68 kgDerycke
21
70 kgVan Looy
21
73 kg
Weight (KG) →
Result →
85
61
8
21
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | SCHULTE Gerrit | 85 |
| 13 | OCKERS Stan | 61 |
| 21 | CERAMI Pino | 72 |
| 21 | IMPANIS Raymond | 69 |
| 21 | JANSSENS Marcel | 68 |
| 21 | DERYCKE Germain | 70 |
| 21 | VAN LOOY Rik | 73 |