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 = 0.6 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Saidkhuzhin
2
69 kgGazda
3
69 kgSmolík
6
73 kgSkibby
7
69 kgSwerts
8
75 kg
2
69 kgGazda
3
69 kgSmolík
6
73 kgSkibby
7
69 kgSwerts
8
75 kg
Weight (KG) →
Result →
75
69
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SAIDKHUZHIN Gainan | 69 |
| 3 | GAZDA Stanislaw | 69 |
| 6 | SMOLÍK Jan | 73 |
| 7 | SKIBBY Willy | 69 |
| 8 | SWERTS Roger | 75 |