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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Buts
1
68 kgSainbayar
2
60 kgSenicourt
5
64 kgChzhan
7
71 kgÖzgür
9
75 kgPrevar
12
64 kg
1
68 kgSainbayar
2
60 kgSenicourt
5
64 kgChzhan
7
71 kgÖzgür
9
75 kgPrevar
12
64 kg
Weight (KG) →
Result →
75
60
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUTS Vitaliy | 68 |
| 2 | SAINBAYAR Jambaljamts | 60 |
| 5 | SENICOURT Kylian | 64 |
| 7 | CHZHAN Igor | 71 |
| 9 | ÖZGÜR Batuhan | 75 |
| 12 | PREVAR Oleksandr | 64 |