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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Van Lerberghe
1
83 kgAlafaci
2
77 kgSkjerping
3
71 kgEnger
4
69 kgFiek
8
74 kg
1
83 kgAlafaci
2
77 kgSkjerping
3
71 kgEnger
4
69 kgFiek
8
74 kg
Weight (KG) →
Result →
83
69
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN LERBERGHE Bert | 83 |
| 2 | ALAFACI Eugenio | 77 |
| 3 | SKJERPING Kristoffer | 71 |
| 4 | ENGER Sondre Holst | 69 |
| 8 | FIEK Arnold | 74 |