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 = -0.4 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Derycke
1
70 kgVan Looy
3
73 kgVan Steenbergen
8
83 kgOckers
12
61 kgSchulte
12
85 kgImpanis
12
69 kgJanssens
42
68 kg
1
70 kgVan Looy
3
73 kgVan Steenbergen
8
83 kgOckers
12
61 kgSchulte
12
85 kgImpanis
12
69 kgJanssens
42
68 kg
Weight (KG) →
Result →
85
61
1
42
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DERYCKE Germain | 70 |
| 3 | VAN LOOY Rik | 73 |
| 8 | VAN STEENBERGEN Rik | 83 |
| 12 | OCKERS Stan | 61 |
| 12 | SCHULTE Gerrit | 85 |
| 12 | IMPANIS Raymond | 69 |
| 42 | JANSSENS Marcel | 68 |