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 = 0.1 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Smit
2
72 kgLavieu
3
60 kgDavel Ward
4
72 kgCraven
6
75 kgVaubourzeix
9
70 kg
2
72 kgLavieu
3
60 kgDavel Ward
4
72 kgCraven
6
75 kgVaubourzeix
9
70 kg
Weight (KG) →
Result →
75
60
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SMIT Willie | 72 |
| 3 | LAVIEU Antoine | 60 |
| 4 | DAVEL WARD Shaun | 72 |
| 6 | CRAVEN Dan | 75 |
| 9 | VAUBOURZEIX Thomas | 70 |