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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Mickiewicz
3
74 kgPiccoli
4
64 kgSerpellini
5
75 kgden Bakker
6
71 kgSpruch
7
68 kgSilovs
8
79 kgde Jongh
9
76 kg
3
74 kgPiccoli
4
64 kgSerpellini
5
75 kgden Bakker
6
71 kgSpruch
7
68 kgSilovs
8
79 kgde Jongh
9
76 kg
Weight (KG) →
Result →
79
64
3
9
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MICKIEWICZ Jacek | 74 |
| 4 | PICCOLI Mariano | 64 |
| 5 | SERPELLINI Marco | 75 |
| 6 | DEN BAKKER Maarten | 71 |
| 7 | SPRUCH Zbigniew | 68 |
| 8 | SILOVS Juris | 79 |
| 9 | DE JONGH Steven | 76 |