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 + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Smith
2
64 kgFroner
3
63 kgGeary
4
71 kgTuazon
22
55 kgDavenport
23
72 kg
2
64 kgFroner
3
63 kgGeary
4
71 kgTuazon
22
55 kgDavenport
23
72 kg
Weight (KG) →
Result →
72
55
2
23
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SMITH Brockton | 64 |
| 3 | FRONER Axel | 63 |
| 4 | GEARY Dillon | 71 |
| 22 | TUAZON Ron Francoise | 55 |
| 23 | DAVENPORT David | 72 |