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 = 1.2 * weight - 74
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Houle
2
72 kgLambert-Lemay
3
81 kgBoily
4
60 kgDuchesne
7
75 kgDal-Cin
40
77 kgBarrette
49
80 kg
2
72 kgLambert-Lemay
3
81 kgBoily
4
60 kgDuchesne
7
75 kgDal-Cin
40
77 kgBarrette
49
80 kg
Weight (KG) →
Result →
81
60
2
49
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HOULE Hugo | 72 |
| 3 | LAMBERT-LEMAY Simon | 81 |
| 4 | BOILY David | 60 |
| 7 | DUCHESNE Antoine | 75 |
| 40 | DAL-CIN Matteo | 77 |
| 49 | BARRETTE Hugo | 80 |