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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Perry
2
71 kgRoutley
3
69 kgBoily
4
60 kgVandale
8
63 kgDal-Cin
10
77 kg
2
71 kgRoutley
3
69 kgBoily
4
60 kgVandale
8
63 kgDal-Cin
10
77 kg
Weight (KG) →
Result →
77
60
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PERRY Benjamin | 71 |
| 3 | ROUTLEY Will | 69 |
| 4 | BOILY David | 60 |
| 8 | VANDALE Danick | 63 |
| 10 | DAL-CIN Matteo | 77 |