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 = -0.9 * weight + 80
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Kubiš
9
70 kgStravers
11
73 kgKhafi
18
65 kgAlmutaiwei
19
74 kgEl Otmany
23
62 kgChren
34
72 kgTuka
37
57 kg
9
70 kgStravers
11
73 kgKhafi
18
65 kgAlmutaiwei
19
74 kgEl Otmany
23
62 kgChren
34
72 kgTuka
37
57 kg
Weight (KG) →
Result →
74
57
9
37
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | KUBIŠ Lukáš | 70 |
| 11 | STRAVERS Jarri | 73 |
| 18 | KHAFI Oussama | 65 |
| 19 | ALMUTAIWEI Mohammad | 74 |
| 23 | EL OTMANY Mehdi | 62 |
| 34 | CHREN Martin | 72 |
| 37 | TUKA Samuel | 57 |