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 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Velits
1
70 kgLund
2
65 kgFrei
3
71 kgRoelandts
4
78 kgLangeveld
5
67 kgHivert
6
62 kgSchär
14
78 kgWyss
18
65 kg
1
70 kgLund
2
65 kgFrei
3
71 kgRoelandts
4
78 kgLangeveld
5
67 kgHivert
6
62 kgSchär
14
78 kgWyss
18
65 kg
Weight (KG) →
Result →
78
62
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VELITS Martin | 70 |
| 2 | LUND Anders | 65 |
| 3 | FREI Thomas | 71 |
| 4 | ROELANDTS Jürgen | 78 |
| 5 | LANGEVELD Sebastian | 67 |
| 6 | HIVERT Jonathan | 62 |
| 14 | SCHÄR Michael | 78 |
| 18 | WYSS Danilo | 65 |