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 = -0.9 * weight + 69
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
van der Hulst
2
66 kgCopponi
3
55 kgRoberts
8
60 kgWiebes
9
60 kgNorsgaard
23
65 kgvan Alphen
28
51 kgFortin
29
55 kg
2
66 kgCopponi
3
55 kgRoberts
8
60 kgWiebes
9
60 kgNorsgaard
23
65 kgvan Alphen
28
51 kgFortin
29
55 kg
Weight (KG) →
Result →
66
51
2
29
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VAN DER HULST Amber | 66 |
| 3 | COPPONI Clara | 55 |
| 8 | ROBERTS Jessica | 60 |
| 9 | WIEBES Lorena | 60 |
| 23 | NORSGAARD Emma | 65 |
| 28 | VAN ALPHEN Aniek | 51 |
| 29 | FORTIN Valentine | 55 |