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 + 57
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Derycke
1
70 kgSchulte
4
85 kgOckers
18
61 kgImpanis
23
69 kgJanssens
25
68 kgVan Looy
33
73 kgCerami
46
72 kg
1
70 kgSchulte
4
85 kgOckers
18
61 kgImpanis
23
69 kgJanssens
25
68 kgVan Looy
33
73 kgCerami
46
72 kg
Weight (KG) →
Result →
85
61
1
46
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DERYCKE Germain | 70 |
| 4 | SCHULTE Gerrit | 85 |
| 18 | OCKERS Stan | 61 |
| 23 | IMPANIS Raymond | 69 |
| 25 | JANSSENS Marcel | 68 |
| 33 | VAN LOOY Rik | 73 |
| 46 | CERAMI Pino | 72 |