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 = 0.4 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Matějka
2
56 kgDernies
7
75 kgDrogan
9
69 kgImboden
14
70 kgGayant
16
69 kg
2
56 kgDernies
7
75 kgDrogan
9
69 kgImboden
14
70 kgGayant
16
69 kg
Weight (KG) →
Result →
75
56
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MATĚJKA Libor | 56 |
| 7 | DERNIES Michel | 75 |
| 9 | DROGAN Bernd | 69 |
| 14 | IMBODEN Heinz | 70 |
| 16 | GAYANT Martial | 69 |