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 = -0.3 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
van Dijk
1
71 kgMackaij
3
57 kgFournier
4
60 kgBrennauer
5
63 kgBrand
6
57 kgJasinska
7
57 kgCecchini
8
52 kg
1
71 kgMackaij
3
57 kgFournier
4
60 kgBrennauer
5
63 kgBrand
6
57 kgJasinska
7
57 kgCecchini
8
52 kg
Weight (KG) →
Result →
71
52
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DIJK Ellen | 71 |
| 3 | MACKAIJ Floortje | 57 |
| 4 | FOURNIER Roxane | 60 |
| 5 | BRENNAUER Lisa | 63 |
| 6 | BRAND Lucinda | 57 |
| 7 | JASINSKA Małgorzata | 57 |
| 8 | CECCHINI Elena | 52 |