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 = -0.2 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Kreuziger
1
65 kgGesink
2
70 kgBoasson Hagen
3
75 kgŠpilak
4
68 kgKönig
7
62 kgTaaramäe
8
68 kg
1
65 kgGesink
2
70 kgBoasson Hagen
3
75 kgŠpilak
4
68 kgKönig
7
62 kgTaaramäe
8
68 kg
Weight (KG) →
Result →
75
62
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KREUZIGER Roman | 65 |
| 2 | GESINK Robert | 70 |
| 3 | BOASSON HAGEN Edvald | 75 |
| 4 | ŠPILAK Simon | 68 |
| 7 | KÖNIG Leopold | 62 |
| 8 | TAARAMÄE Rein | 68 |