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 = 2.4 * weight - 123
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | JACKSON Alison | 63 |
2 | BLAIS Marie-Soleil | 53 |
3 | TEDDERGREEN Starla | 51 |
5 | BARIL Olivia | 56 |
10 | RYAN Kendall | 59 |
11 | BEVERIDGE Allison | 62 |
13 | COLES-LYSTER Maggie | 61 |
17 | KESSLER Nina | 60 |
18 | BRECK Holly | 59 |
19 | VAN DAM Sarah | 58 |
27 | GANZAR Leigh Ann | 59 |
43 | ROORDA Stephanie | 70 |
44 | GOLDMAN Lindsay | 64 |
47 | WILLIAMS Lily | 66 |