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 - 77
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Kreuziger
1
65 kgCapecchi
2
65 kgWyss
3
63 kgGesink
4
70 kgSteensen
5
65 kgCherel
6
65 kgBoasson Hagen
19
75 kg
1
65 kgCapecchi
2
65 kgWyss
3
63 kgGesink
4
70 kgSteensen
5
65 kgCherel
6
65 kgBoasson Hagen
19
75 kg
Weight (KG) →
Result →
75
63
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KREUZIGER Roman | 65 |
| 2 | CAPECCHI Eros | 65 |
| 3 | WYSS Marcel | 63 |
| 4 | GESINK Robert | 70 |
| 5 | STEENSEN André | 65 |
| 6 | CHEREL Mikaël | 65 |
| 19 | BOASSON HAGEN Edvald | 75 |