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 + 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Stahurskaya
2
69 kgPitel
3
52 kgMoreno
10
52 kgHenrion
14
60 kgCorneo
20
54 kgSlappendel
32
67 kgValsecchi
63
58 kg
2
69 kgPitel
3
52 kgMoreno
10
52 kgHenrion
14
60 kgCorneo
20
54 kgSlappendel
32
67 kgValsecchi
63
58 kg
Weight (KG) →
Result →
69
52
2
63
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | STAHURSKAYA Zinaida | 69 |
| 3 | PITEL Edwige | 52 |
| 10 | MORENO María Isabel | 52 |
| 14 | HENRION Ludivine | 60 |
| 20 | CORNEO Sigrid | 54 |
| 32 | SLAPPENDEL Iris | 67 |
| 63 | VALSECCHI Silvia | 58 |