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 = -0.3 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
O'Loughlin
1
68 kgMcCann
2
73 kgRoche
3
70 kgDeignan
4
65 kgPower
6
68 kg
1
68 kgMcCann
2
73 kgRoche
3
70 kgDeignan
4
65 kgPower
6
68 kg
Weight (KG) →
Result →
73
65
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | O'LOUGHLIN David | 68 |
| 2 | MCCANN David | 73 |
| 3 | ROCHE Nicolas | 70 |
| 4 | DEIGNAN Philip | 65 |
| 6 | POWER Ciarán | 68 |