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 = -0.4 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Konychev
2
76 kgQuarterman
3
75 kgFerrari
4
64 kgMoniquet
7
61 kgChzhan
13
71 kgEl Gouzi
14
58 kg
2
76 kgQuarterman
3
75 kgFerrari
4
64 kgMoniquet
7
61 kgChzhan
13
71 kgEl Gouzi
14
58 kg
Weight (KG) →
Result →
76
58
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KONYCHEV Alexander | 76 |
| 3 | QUARTERMAN Charlie | 75 |
| 4 | FERRARI Andrea | 64 |
| 7 | MONIQUET Sylvain | 61 |
| 13 | CHZHAN Igor | 71 |
| 14 | EL GOUZI Omar | 58 |