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 = 0.1 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Confalonieri
2
56 kgWiebes
3
60 kgKastelijn
5
52 kgNeylan
7
52 kgAdegeest
8
57 kgStannard
9
55 kgCouzens
12
59 kg
2
56 kgWiebes
3
60 kgKastelijn
5
52 kgNeylan
7
52 kgAdegeest
8
57 kgStannard
9
55 kgCouzens
12
59 kg
Weight (KG) →
Result →
60
52
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CONFALONIERI Maria Giulia | 56 |
| 3 | WIEBES Lorena | 60 |
| 5 | KASTELIJN Yara | 52 |
| 7 | NEYLAN Rachel | 52 |
| 8 | ADEGEEST Loes | 57 |
| 9 | STANNARD Elizabeth | 55 |
| 12 | COUZENS Millie | 59 |