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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Bonciucov
1
66 kgMarzoli
2
61 kgDe Groote
4
71 kgHorrach
6
70 kgBrutt
7
70 kgKadlec
8
70 kgPalumbo
9
61 kg
1
66 kgMarzoli
2
61 kgDe Groote
4
71 kgHorrach
6
70 kgBrutt
7
70 kgKadlec
8
70 kgPalumbo
9
61 kg
Weight (KG) →
Result →
71
61
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BONCIUCOV Igor | 66 |
| 2 | MARZOLI Ruggero | 61 |
| 4 | DE GROOTE Thierry | 71 |
| 6 | HORRACH Joan Sebastian | 70 |
| 7 | BRUTT Pavel | 70 |
| 8 | KADLEC Milan | 70 |
| 9 | PALUMBO Giuseppe | 61 |