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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Vanmarcke
2
77 kgDockx
3
64 kgEijssen
6
60 kgDhaene
8
73 kgBertrand
9
65 kgPieters
11
73 kgDebusschere
16
77 kg
2
77 kgDockx
3
64 kgEijssen
6
60 kgDhaene
8
73 kgBertrand
9
65 kgPieters
11
73 kgDebusschere
16
77 kg
Weight (KG) →
Result →
77
60
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VANMARCKE Sep | 77 |
| 3 | DOCKX Gert | 64 |
| 6 | EIJSSEN Yannick | 60 |
| 8 | DHAENE Brecht | 73 |
| 9 | BERTRAND Jonathan | 65 |
| 11 | PIETERS Sibrecht | 73 |
| 16 | DEBUSSCHERE Jens | 77 |