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 = -0.1 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Van Steenbergen
4
83 kgOckers
8
61 kgVan Looy
11
73 kgDerycke
17
70 kgSchulte
20
85 kgJanssens
32
68 kg
4
83 kgOckers
8
61 kgVan Looy
11
73 kgDerycke
17
70 kgSchulte
20
85 kgJanssens
32
68 kg
Weight (KG) →
Result →
85
61
4
32
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VAN STEENBERGEN Rik | 83 |
| 8 | OCKERS Stan | 61 |
| 11 | VAN LOOY Rik | 73 |
| 17 | DERYCKE Germain | 70 |
| 20 | SCHULTE Gerrit | 85 |
| 32 | JANSSENS Marcel | 68 |