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 + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Gate
1
71 kgBissegger
3
78 kgWippert
4
75 kgMudgway
5
65 kgMetcalfe
7
59 kg
1
71 kgBissegger
3
78 kgWippert
4
75 kgMudgway
5
65 kgMetcalfe
7
59 kg
Weight (KG) →
Result →
78
59
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GATE Aaron | 71 |
| 3 | BISSEGGER Stefan | 78 |
| 4 | WIPPERT Wouter | 75 |
| 5 | MUDGWAY Luke | 65 |
| 7 | METCALFE Ben | 59 |