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 + 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Lahsaini
1
77 kgSchulting
11
70 kgAït El Abdia
12
66 kgPellaud
16
70 kgHristov
21
57 kgBichlmann
30
72 kgWolf
31
85 kg
1
77 kgSchulting
11
70 kgAït El Abdia
12
66 kgPellaud
16
70 kgHristov
21
57 kgBichlmann
30
72 kgWolf
31
85 kg
Weight (KG) →
Result →
85
57
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAHSAINI Mouhssine | 77 |
| 11 | SCHULTING Peter | 70 |
| 12 | AÏT EL ABDIA Anass | 66 |
| 16 | PELLAUD Simon | 70 |
| 21 | HRISTOV Stefan Koychev | 57 |
| 30 | BICHLMANN Daniel | 72 |
| 31 | WOLF Justin | 85 |