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 + 57
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Stenuit
1
77 kgPoulhiès
2
75 kgNõmmela
4
69 kgJules
5
64 kgCardis
10
72 kgSchmidt
14
63 kgCieślik
15
65 kg
1
77 kgPoulhiès
2
75 kgNõmmela
4
69 kgJules
5
64 kgCardis
10
72 kgSchmidt
14
63 kgCieślik
15
65 kg
Weight (KG) →
Result →
77
63
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STENUIT Robin | 77 |
| 2 | POULHIÈS Stéphane | 75 |
| 4 | NÕMMELA Aksel | 69 |
| 5 | JULES Justin | 64 |
| 10 | CARDIS Romain | 72 |
| 14 | SCHMIDT Fabien | 63 |
| 15 | CIEŚLIK Paweł | 65 |