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 = 0.1 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Robeet
1
75 kgZangerle
6
63 kgWauters
8
66 kgBichlmann
10
72 kgBille
11
67 kgKlostergaard
12
69 kgKirsch
13
78 kg
1
75 kgZangerle
6
63 kgWauters
8
66 kgBichlmann
10
72 kgBille
11
67 kgKlostergaard
12
69 kgKirsch
13
78 kg
Weight (KG) →
Result →
78
63
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROBEET Ludovic | 75 |
| 6 | ZANGERLE Joel | 63 |
| 8 | WAUTERS Willem | 66 |
| 10 | BICHLMANN Daniel | 72 |
| 11 | BILLE Gaëtan | 67 |
| 12 | KLOSTERGAARD Kasper | 69 |
| 13 | KIRSCH Alex | 78 |