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 + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Dufaux
1
60 kgJeker
4
72 kgVirenque
7
65 kgAldag
8
75 kgDvorščík
12
68 kgGianetti
14
62 kgBolay
15
68 kg
1
60 kgJeker
4
72 kgVirenque
7
65 kgAldag
8
75 kgDvorščík
12
68 kgGianetti
14
62 kgBolay
15
68 kg
Weight (KG) →
Result →
75
60
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUFAUX Laurent | 60 |
| 4 | JEKER Fabian | 72 |
| 7 | VIRENQUE Richard | 65 |
| 8 | ALDAG Rolf | 75 |
| 12 | DVORŠČÍK Milan | 68 |
| 14 | GIANETTI Mauro | 62 |
| 15 | BOLAY Sylvain | 68 |