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 + 24
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Meng
11
65 kgMin
18
56 kgNontasin
20
58 kgStander
23
57 kgJasinska
24
57 kgLuo
26
68 kgDe Groot
28
56 kgEllis
30
64 kg
11
65 kgMin
18
56 kgNontasin
20
58 kgStander
23
57 kgJasinska
24
57 kgLuo
26
68 kgDe Groot
28
56 kgEllis
30
64 kg
Weight (KG) →
Result →
68
56
11
30
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | MENG Lang | 65 |
| 18 | MIN Gao | 56 |
| 20 | NONTASIN Chanpeng | 58 |
| 23 | STANDER Marissa | 57 |
| 24 | JASINSKA Małgorzata | 57 |
| 26 | LUO Xiao Ling | 68 |
| 28 | DE GROOT Robyn | 56 |
| 30 | ELLIS Lauren | 64 |