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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Gonçalves
1
70 kgKonrad
2
64 kgSénéchal
4
77 kgAntomarchi
5
70 kgRosskopf
7
74 kgLecuisinier
8
65 kgSpokes
9
63 kg
1
70 kgKonrad
2
64 kgSénéchal
4
77 kgAntomarchi
5
70 kgRosskopf
7
74 kgLecuisinier
8
65 kgSpokes
9
63 kg
Weight (KG) →
Result →
77
63
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GONÇALVES José | 70 |
| 2 | KONRAD Patrick | 64 |
| 4 | SÉNÉCHAL Florian | 77 |
| 5 | ANTOMARCHI Julien | 70 |
| 7 | ROSSKOPF Joey | 74 |
| 8 | LECUISINIER Pierre-Henri | 65 |
| 9 | SPOKES Samuel | 63 |