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 = 0.7 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Amialiusik
3
53 kgBujak
4
63 kgPawlowska
7
60 kgKarasiewicz
17
69 kgWojtyra
22
70 kgMatusiak
25
58 kg
3
53 kgBujak
4
63 kgPawlowska
7
60 kgKarasiewicz
17
69 kgWojtyra
22
70 kgMatusiak
25
58 kg
Weight (KG) →
Result →
70
53
3
25
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | AMIALIUSIK Alena | 53 |
| 4 | BUJAK Eugenia | 63 |
| 7 | PAWLOWSKA Katarzyna | 60 |
| 17 | KARASIEWICZ Karolina | 69 |
| 22 | WOJTYRA Malgorzata | 70 |
| 25 | MATUSIAK Bogumiła | 58 |