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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Schmid
1
70 kgDunbar
2
57 kgHayter
3
70 kgvan der Poel
4
75 kgTesfatsion
5
60 kgUlissi
7
63 kgSobrero
8
63 kg
1
70 kgDunbar
2
57 kgHayter
3
70 kgvan der Poel
4
75 kgTesfatsion
5
60 kgUlissi
7
63 kgSobrero
8
63 kg
Weight (KG) →
Result →
75
57
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHMID Mauro | 70 |
| 2 | DUNBAR Eddie | 57 |
| 3 | HAYTER Ethan | 70 |
| 4 | VAN DER POEL Mathieu | 75 |
| 5 | TESFATSION Natnael | 60 |
| 7 | ULISSI Diego | 63 |
| 8 | SOBRERO Matteo | 63 |