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 = -0.7 * weight + 63
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Van Steenbergen
1
83 kgKint
12
74 kgVlaemynck
14
63 kgLowie
16
68 kgMoerenhout
21
72 kg
1
83 kgKint
12
74 kgVlaemynck
14
63 kgLowie
16
68 kgMoerenhout
21
72 kg
Weight (KG) →
Result →
83
63
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN STEENBERGEN Rik | 83 |
| 12 | KINT Marcel | 74 |
| 14 | VLAEMYNCK Lucien | 63 |
| 16 | LOWIE Jules | 68 |
| 21 | MOERENHOUT Jef | 72 |