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 + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Stahurskaya
1
69 kgPitel
3
52 kgCorneo
4
54 kgHenrion
5
60 kgSlappendel
23
67 kgMoreno
25
52 kgValsecchi
54
58 kg
1
69 kgPitel
3
52 kgCorneo
4
54 kgHenrion
5
60 kgSlappendel
23
67 kgMoreno
25
52 kgValsecchi
54
58 kg
Weight (KG) →
Result →
69
52
1
54
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STAHURSKAYA Zinaida | 69 |
| 3 | PITEL Edwige | 52 |
| 4 | CORNEO Sigrid | 54 |
| 5 | HENRION Ludivine | 60 |
| 23 | SLAPPENDEL Iris | 67 |
| 25 | MORENO María Isabel | 52 |
| 54 | VALSECCHI Silvia | 58 |