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 = 0.5 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Bramati
1
72 kgVainšteins
3
72 kgSpruch
4
68 kgMickiewicz
5
74 kgGuidi
6
73 kgSilovs
8
79 kg
1
72 kgVainšteins
3
72 kgSpruch
4
68 kgMickiewicz
5
74 kgGuidi
6
73 kgSilovs
8
79 kg
Weight (KG) →
Result →
79
68
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRAMATI Davide | 72 |
| 3 | VAINŠTEINS Romāns | 72 |
| 4 | SPRUCH Zbigniew | 68 |
| 5 | MICKIEWICZ Jacek | 74 |
| 6 | GUIDI Fabrizio | 73 |
| 8 | SILOVS Juris | 79 |