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 = -0.6 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Gesink
1
70 kgKramer
2
83 kgvan Amerongen
3
70 kgKruijswijk
10
63 kgKreder
20
67 kg
1
70 kgKramer
2
83 kgvan Amerongen
3
70 kgKruijswijk
10
63 kgKreder
20
67 kg
Weight (KG) →
Result →
83
63
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GESINK Robert | 70 |
| 2 | KRAMER Sven | 83 |
| 3 | VAN AMERONGEN Thijs | 70 |
| 10 | KRUIJSWIJK Steven | 63 |
| 20 | KREDER Michel | 67 |