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 = -2.4 * weight + 165
This means that on average for every extra kilogram weight a rider loses -2.4 positions in the result.
Maneephan
1
59 kgKakhkhorova
14
53 kgNontasin
23
58 kgVelasco
38
51 kgNuntana
61
55 kgSomrat
69
56 kg
1
59 kgKakhkhorova
14
53 kgNontasin
23
58 kgVelasco
38
51 kgNuntana
61
55 kgSomrat
69
56 kg
Weight (KG) →
Result →
59
51
1
69
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANEEPHAN Jutatip | 59 |
| 14 | KAKHKHOROVA Madina | 53 |
| 23 | NONTASIN Chanpeng | 58 |
| 38 | VELASCO Kate Yasmin | 51 |
| 61 | NUNTANA Supaksorn | 55 |
| 69 | SOMRAT Phetdarin | 56 |