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 = 0.6 * weight + 41
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
O'Brien
56
59 kgTammepuu
60
68 kgChzhan
84
72 kgPatras
86
69 kgDentelli
94
67 kgValiev
102
61 kg
56
59 kgTammepuu
60
68 kgChzhan
84
72 kgPatras
86
69 kgDentelli
94
67 kgValiev
102
61 kg
Weight (KG) →
Result →
72
59
56
102
| # | Rider | Weight (KG) |
|---|---|---|
| 56 | O'BRIEN Finn | 59 |
| 60 | TAMMEPUU Riko | 68 |
| 84 | CHZHAN Kirill | 72 |
| 86 | PATRAS Jakub | 69 |
| 94 | DENTELLI Giacomo | 67 |
| 102 | VALIEV Almir | 61 |