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 = -1.4 * weight + 112
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Knudsen
1
79 kgDuclos-Lassalle
5
73 kgDe Vlaeminck
7
74 kgPrim
18
76 kgBaronchelli
19
72 kg
1
79 kgDuclos-Lassalle
5
73 kgDe Vlaeminck
7
74 kgPrim
18
76 kgBaronchelli
19
72 kg
Weight (KG) →
Result →
79
72
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KNUDSEN Knut | 79 |
| 5 | DUCLOS-LASSALLE Gilbert | 73 |
| 7 | DE VLAEMINCK Roger | 74 |
| 18 | PRIM Tommy | 76 |
| 19 | BARONCHELLI Gianbattista | 72 |