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.
Schmidt
2
63 kgMatheou
4
73 kgSonnery
5
60 kgBideau
6
73 kgBlain
7
82 kgVeilleux
8
75 kgMeisen
10
62 kg
2
63 kgMatheou
4
73 kgSonnery
5
60 kgBideau
6
73 kgBlain
7
82 kgVeilleux
8
75 kgMeisen
10
62 kg
Weight (KG) →
Result →
82
60
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SCHMIDT Fabien | 63 |
| 4 | MATHEOU Romain | 73 |
| 5 | SONNERY Blaise | 60 |
| 6 | BIDEAU Jean-Marc | 73 |
| 7 | BLAIN Alexandre | 82 |
| 8 | VEILLEUX David | 75 |
| 10 | MEISEN Marcel | 62 |