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.
Confalonieri
2
56 kgNeylan
4
52 kgKastelijn
5
52 kgStannard
6
55 kgWiebes
7
60 kgAdegeest
8
57 kg
2
56 kgNeylan
4
52 kgKastelijn
5
52 kgStannard
6
55 kgWiebes
7
60 kgAdegeest
8
57 kg
Weight (KG) →
Result →
60
52
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CONFALONIERI Maria Giulia | 56 |
| 4 | NEYLAN Rachel | 52 |
| 5 | KASTELIJN Yara | 52 |
| 6 | STANNARD Elizabeth | 55 |
| 7 | WIEBES Lorena | 60 |
| 8 | ADEGEEST Loes | 57 |