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 = 1.2 * weight - 73
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Meier
1
69 kgSchnider
2
65 kgGianetti
3
62 kgDufaux
5
60 kgZberg
7
69 kgJärmann
15
73 kgRichard
20
67 kgElmiger
27
73 kg
1
69 kgSchnider
2
65 kgGianetti
3
62 kgDufaux
5
60 kgZberg
7
69 kgJärmann
15
73 kgRichard
20
67 kgElmiger
27
73 kg
Weight (KG) →
Result →
73
60
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEIER Armin | 69 |
| 2 | SCHNIDER Daniel | 65 |
| 3 | GIANETTI Mauro | 62 |
| 5 | DUFAUX Laurent | 60 |
| 7 | ZBERG Markus | 69 |
| 15 | JÄRMANN Rolf | 73 |
| 20 | RICHARD Pascal | 67 |
| 27 | ELMIGER Martin | 73 |