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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Stevens
1
55 kgLaws
2
54 kgAmialiusik
3
53 kgvan Dijk
8
71 kgBrzeźna
9
56 kgPavlukhina
10
68 kg
1
55 kgLaws
2
54 kgAmialiusik
3
53 kgvan Dijk
8
71 kgBrzeźna
9
56 kgPavlukhina
10
68 kg
Weight (KG) →
Result →
71
53
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEVENS Evelyn | 55 |
| 2 | LAWS Sharon | 54 |
| 3 | AMIALIUSIK Alena | 53 |
| 8 | VAN DIJK Ellen | 71 |
| 9 | BRZEŹNA Paulina | 56 |
| 10 | PAVLUKHINA Olena | 68 |