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 = -0.8 * weight + 66
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Verraes
1
73 kgPorsev
2
80 kgVandousselaere
6
71 kgDupont
8
72 kgClain
16
59 kgBelgy
18
68 kg
1
73 kgPorsev
2
80 kgVandousselaere
6
71 kgDupont
8
72 kgClain
16
59 kgBelgy
18
68 kg
Weight (KG) →
Result →
80
59
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VERRAES Benjamin | 73 |
| 2 | PORSEV Alexander | 80 |
| 6 | VANDOUSSELAERE Sven | 71 |
| 8 | DUPONT Timothy | 72 |
| 16 | CLAIN Médéric | 59 |
| 18 | BELGY Julien | 68 |