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 + 41
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Vandenbroucke
2
63 kgDelbaere
3
51 kgVerdonschot
5
52 kgVandenbulcke
6
60 kgKopecky
12
66 kgDocx
37
52 kg
2
63 kgDelbaere
3
51 kgVerdonschot
5
52 kgVandenbulcke
6
60 kgKopecky
12
66 kgDocx
37
52 kg
Weight (KG) →
Result →
66
51
2
37
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VANDENBROUCKE Saartje | 63 |
| 3 | DELBAERE Fien | 51 |
| 5 | VERDONSCHOT Laura | 52 |
| 6 | VANDENBULCKE Jesse | 60 |
| 12 | KOPECKY Lotte | 66 |
| 37 | DOCX Mieke | 52 |