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 + 45
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Van Looy
1
73 kgDerycke
11
70 kgVan Steenbergen
14
83 kgSchulte
16
85 kgOckers
16
61 kgJanssens
46
68 kg
1
73 kgDerycke
11
70 kgVan Steenbergen
14
83 kgSchulte
16
85 kgOckers
16
61 kgJanssens
46
68 kg
Weight (KG) →
Result →
85
61
1
46
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN LOOY Rik | 73 |
| 11 | DERYCKE Germain | 70 |
| 14 | VAN STEENBERGEN Rik | 83 |
| 16 | SCHULTE Gerrit | 85 |
| 16 | OCKERS Stan | 61 |
| 46 | JANSSENS Marcel | 68 |