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 = -0.5 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Pitel
1
52 kgStahurskaya
2
69 kgSlappendel
3
67 kgMoreno
11
52 kgHenrion
16
60 kgCorneo
24
54 kgValsecchi
26
58 kg
1
52 kgStahurskaya
2
69 kgSlappendel
3
67 kgMoreno
11
52 kgHenrion
16
60 kgCorneo
24
54 kgValsecchi
26
58 kg
Weight (KG) →
Result →
69
52
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PITEL Edwige | 52 |
| 2 | STAHURSKAYA Zinaida | 69 |
| 3 | SLAPPENDEL Iris | 67 |
| 11 | MORENO María Isabel | 52 |
| 16 | HENRION Ludivine | 60 |
| 24 | CORNEO Sigrid | 54 |
| 26 | VALSECCHI Silvia | 58 |