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 - 12
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Jonker
2
69 kgRenshaw
3
74 kgMcEwen
5
67 kgClerc
6
71 kgKaggestad
8
66 kgEisel
9
74 kgBrown
10
76 kg
2
69 kgRenshaw
3
74 kgMcEwen
5
67 kgClerc
6
71 kgKaggestad
8
66 kgEisel
9
74 kgBrown
10
76 kg
Weight (KG) →
Result →
76
66
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JONKER Patrick | 69 |
| 3 | RENSHAW Mark | 74 |
| 5 | MCEWEN Robbie | 67 |
| 6 | CLERC Aurélien | 71 |
| 8 | KAGGESTAD Mads | 66 |
| 9 | EISEL Bernhard | 74 |
| 10 | BROWN Graeme Allen | 76 |