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 = -0.3 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Flens
1
82 kgDuijn
4
73 kgHonig
7
61 kgMaaskant
9
76 kgHoogerland
17
65 kgVeelers
22
75 kgHuizenga
32
72 kg
1
82 kgDuijn
4
73 kgHonig
7
61 kgMaaskant
9
76 kgHoogerland
17
65 kgVeelers
22
75 kgHuizenga
32
72 kg
Weight (KG) →
Result →
82
61
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FLENS Rick | 82 |
| 4 | DUIJN Huub | 73 |
| 7 | HONIG Reinier | 61 |
| 9 | MAASKANT Martijn | 76 |
| 17 | HOOGERLAND Johnny | 65 |
| 22 | VEELERS Tom | 75 |
| 32 | HUIZENGA Jenning | 72 |