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 + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Hoste
1
76 kgDe Wolf
3
75 kgDe Wilde
6
70 kgPlanckaert
7
69 kgWampers
16
82 kgNevens
18
58 kgSergeant
22
76 kg
1
76 kgDe Wolf
3
75 kgDe Wilde
6
70 kgPlanckaert
7
69 kgWampers
16
82 kgNevens
18
58 kgSergeant
22
76 kg
Weight (KG) →
Result →
82
58
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOSTE Frank | 76 |
| 3 | DE WOLF Fons | 75 |
| 6 | DE WILDE Etienne | 70 |
| 7 | PLANCKAERT Eddy | 69 |
| 16 | WAMPERS Jean-Marie | 82 |
| 18 | NEVENS Jan | 58 |
| 22 | SERGEANT Marc | 76 |