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 - 30
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Dmitriyev
1
69 kgVisconti
4
63 kgKocjan
5
72 kgMironov
10
68 kgKemps
45
73 kgSulzberger
79
67 kg
1
69 kgVisconti
4
63 kgKocjan
5
72 kgMironov
10
68 kgKemps
45
73 kgSulzberger
79
67 kg
Weight (KG) →
Result →
73
63
1
79
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DMITRIYEV Valeriy | 69 |
| 4 | VISCONTI Giovanni | 63 |
| 5 | KOCJAN Jure | 72 |
| 10 | MIRONOV Alexander | 68 |
| 45 | KEMPS Aaron | 73 |
| 79 | SULZBERGER Bernard | 67 |