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 - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Amialiusik
1
53 kgPintar
4
56 kgStevens
5
55 kgvan Dijk
11
71 kgBoyarskaya
12
67 kg
1
53 kgPintar
4
56 kgStevens
5
55 kgvan Dijk
11
71 kgBoyarskaya
12
67 kg
Weight (KG) →
Result →
71
53
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AMIALIUSIK Alena | 53 |
| 4 | PINTAR Urška | 56 |
| 5 | STEVENS Evelyn | 55 |
| 11 | VAN DIJK Ellen | 71 |
| 12 | BOYARSKAYA Natalia | 67 |