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 = -0.3 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Savitskiy
1
72 kgShumov
2
65 kgStević
3
66 kgZhurkin
4
77 kgBalykin
5
68 kgWachter
11
72 kgRiabushenko
13
61 kg
1
72 kgShumov
2
65 kgStević
3
66 kgZhurkin
4
77 kgBalykin
5
68 kgWachter
11
72 kgRiabushenko
13
61 kg
Weight (KG) →
Result →
77
61
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAVITSKIY Ivan | 72 |
| 2 | SHUMOV Nikolai | 65 |
| 3 | STEVIĆ Ivan | 66 |
| 4 | ZHURKIN Nikolay | 77 |
| 5 | BALYKIN Ivan | 68 |
| 11 | WACHTER Alexander | 72 |
| 13 | RIABUSHENKO Alexandr | 61 |