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 = -4.4 * weight + 332
This means that on average for every extra kilogram weight a rider loses -4.4 positions in the result.
Burghardt
1
75 kgBelkov
3
71 kgGrivko
5
70 kgKemps
43
73 kgSulzberger
56
67 kg
1
75 kgBelkov
3
71 kgGrivko
5
70 kgKemps
43
73 kgSulzberger
56
67 kg
Weight (KG) →
Result →
75
67
1
56
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BURGHARDT Marcus | 75 |
| 3 | BELKOV Maxim | 71 |
| 5 | GRIVKO Andrey | 70 |
| 43 | KEMPS Aaron | 73 |
| 56 | SULZBERGER Bernard | 67 |