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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Jackson
2
63 kgDuehring
4
54 kgBarnes
5
52 kgStephens
7
55 kgVillumsen
9
59 kgKilburg
14
64 kg
2
63 kgDuehring
4
54 kgBarnes
5
52 kgStephens
7
55 kgVillumsen
9
59 kgKilburg
14
64 kg
Weight (KG) →
Result →
64
52
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JACKSON Alison | 63 |
| 4 | DUEHRING Jasmin | 54 |
| 5 | BARNES Hannah | 52 |
| 7 | STEPHENS Lauren | 55 |
| 9 | VILLUMSEN Linda | 59 |
| 14 | KILBURG Mia | 64 |