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 * weight + 21
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Stahurskaya
1
69 kgMoreno
2
52 kgCorneo
8
54 kgPitel
15
52 kgSlappendel
19
67 kgHenrion
48
60 kgValsecchi
64
58 kg
1
69 kgMoreno
2
52 kgCorneo
8
54 kgPitel
15
52 kgSlappendel
19
67 kgHenrion
48
60 kgValsecchi
64
58 kg
Weight (KG) →
Result →
69
52
1
64
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STAHURSKAYA Zinaida | 69 |
| 2 | MORENO María Isabel | 52 |
| 8 | CORNEO Sigrid | 54 |
| 15 | PITEL Edwige | 52 |
| 19 | SLAPPENDEL Iris | 67 |
| 48 | HENRION Ludivine | 60 |
| 64 | VALSECCHI Silvia | 58 |