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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Power
2
68 kgKomar
3
73 kgRichardson
4
75 kgHegreberg
6
72 kgMcCann
9
73 kgHanson
10
74 kgO'Loughlin
11
68 kg
2
68 kgKomar
3
73 kgRichardson
4
75 kgHegreberg
6
72 kgMcCann
9
73 kgHanson
10
74 kgO'Loughlin
11
68 kg
Weight (KG) →
Result →
75
68
2
11
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | POWER Ciarán | 68 |
| 3 | KOMAR Mateusz | 73 |
| 4 | RICHARDSON Simon | 75 |
| 6 | HEGREBERG Morten | 72 |
| 9 | MCCANN David | 73 |
| 10 | HANSON Ken | 74 |
| 11 | O'LOUGHLIN David | 68 |