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 + 53
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Kiendyś
3
78 kgLisowicz
4
85 kgOjavee
9
80 kgSapa
10
82 kgBodnar
11
68 kgRogina
19
70 kg
3
78 kgLisowicz
4
85 kgOjavee
9
80 kgSapa
10
82 kgBodnar
11
68 kgRogina
19
70 kg
Weight (KG) →
Result →
85
68
3
19
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KIENDYŚ Tomasz | 78 |
| 4 | LISOWICZ Tomasz | 85 |
| 9 | OJAVEE Mart | 80 |
| 10 | SAPA Marcin | 82 |
| 11 | BODNAR Łukasz | 68 |
| 19 | ROGINA Radoslav | 70 |