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 + 41
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Van Steenbergen
2
83 kgOckers
6
61 kgSchulte
7
85 kgJanssens
10
68 kgImpanis
14
69 kgDerycke
36
70 kgVan Looy
40
73 kg
2
83 kgOckers
6
61 kgSchulte
7
85 kgJanssens
10
68 kgImpanis
14
69 kgDerycke
36
70 kgVan Looy
40
73 kg
Weight (KG) →
Result →
85
61
2
40
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN STEENBERGEN Rik | 83 |
| 6 | OCKERS Stan | 61 |
| 7 | SCHULTE Gerrit | 85 |
| 10 | JANSSENS Marcel | 68 |
| 14 | IMPANIS Raymond | 69 |
| 36 | DERYCKE Germain | 70 |
| 40 | VAN LOOY Rik | 73 |