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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Renshaw
1
74 kgMcEwen
2
67 kgClerc
3
71 kgKaggestad
5
66 kgEisel
6
74 kgBrown
7
76 kg
1
74 kgMcEwen
2
67 kgClerc
3
71 kgKaggestad
5
66 kgEisel
6
74 kgBrown
7
76 kg
Weight (KG) →
Result →
76
66
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RENSHAW Mark | 74 |
| 2 | MCEWEN Robbie | 67 |
| 3 | CLERC Aurélien | 71 |
| 5 | KAGGESTAD Mads | 66 |
| 6 | EISEL Bernhard | 74 |
| 7 | BROWN Graeme Allen | 76 |