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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Bronzini
2
54 kgLongo Borghini
6
59 kgMeng
7
65 kgHsiao
8
58 kgGilmore
9
56 kgRiabchenko
10
57 kg
2
54 kgLongo Borghini
6
59 kgMeng
7
65 kgHsiao
8
58 kgGilmore
9
56 kgRiabchenko
10
57 kg
Weight (KG) →
Result →
65
54
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BRONZINI Giorgia | 54 |
| 6 | LONGO BORGHINI Elisa | 59 |
| 7 | MENG Lang | 65 |
| 8 | HSIAO Mei Yu | 58 |
| 9 | GILMORE Rochelle | 56 |
| 10 | RIABCHENKO Tetyana | 57 |