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 - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
van der Meulen
3
67 kgWalker
5
52 kgBangert
6
66 kgBrennan
9
68 kgPrestianni
10
64 kgBárta
12
67 kgIsidore
13
67 kg
3
67 kgWalker
5
52 kgBangert
6
66 kgBrennan
9
68 kgPrestianni
10
64 kgBárta
12
67 kgIsidore
13
67 kg
Weight (KG) →
Result →
68
52
3
13
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | VAN DER MEULEN Max | 67 |
| 5 | WALKER Zachary | 52 |
| 6 | BANGERT Nick | 66 |
| 9 | BRENNAN Matthew | 68 |
| 10 | PRESTIANNI Sacha | 64 |
| 12 | BÁRTA Martin | 67 |
| 13 | ISIDORE Noa | 67 |