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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Richard
1
67 kgJärmann
2
73 kgGianetti
3
62 kgZberg
4
72 kgZülle
6
72 kgDufaux
8
60 kgJeker
15
72 kg
1
67 kgJärmann
2
73 kgGianetti
3
62 kgZberg
4
72 kgZülle
6
72 kgDufaux
8
60 kgJeker
15
72 kg
Weight (KG) →
Result →
73
60
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RICHARD Pascal | 67 |
| 2 | JÄRMANN Rolf | 73 |
| 3 | GIANETTI Mauro | 62 |
| 4 | ZBERG Beat | 72 |
| 6 | ZÜLLE Alex | 72 |
| 8 | DUFAUX Laurent | 60 |
| 15 | JEKER Fabian | 72 |