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 - 12
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Scheller
1
72 kgDidier
3
71 kgNeuens
4
76 kgClemens
5
75 kgClemens
6
69 kgBautz
7
72 kgBulla
10
75 kg
1
72 kgDidier
3
71 kgNeuens
4
76 kgClemens
5
75 kgClemens
6
69 kgBautz
7
72 kgBulla
10
75 kg
Weight (KG) →
Result →
76
69
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHELLER Fritz | 72 |
| 3 | DIDIER Christophe | 71 |
| 4 | NEUENS François | 76 |
| 5 | CLEMENS Mathias | 75 |
| 6 | CLEMENS Pierre | 69 |
| 7 | BAUTZ Erich | 72 |
| 10 | BULLA Max | 75 |