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 = 0.9 * weight - 41
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Ilyin
8
63 kgKurianov
11
56 kgKapustin
15
65 kgPopov
21
75 kgMalkov
34
69 kg
8
63 kgKurianov
11
56 kgKapustin
15
65 kgPopov
21
75 kgMalkov
34
69 kg
Weight (KG) →
Result →
75
56
8
34
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | ILYIN Roman | 63 |
| 11 | KURIANOV Sergei | 56 |
| 15 | KAPUSTIN Kirill | 65 |
| 21 | POPOV Anton | 75 |
| 34 | MALKOV Kirill | 69 |