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 + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Durand
2
76 kgSaugrain
3
62 kgMoncassin
4
73 kgJalabert
7
66 kgSimon
9
70 kgGualdi
10
68 kg
2
76 kgSaugrain
3
62 kgMoncassin
4
73 kgJalabert
7
66 kgSimon
9
70 kgGualdi
10
68 kg
Weight (KG) →
Result →
76
62
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DURAND Jacky | 76 |
| 3 | SAUGRAIN Cyril | 62 |
| 4 | MONCASSIN Frédéric | 73 |
| 7 | JALABERT Laurent | 66 |
| 9 | SIMON François | 70 |
| 10 | GUALDI Mirko | 68 |