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 = 1.4 * weight - 78
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Nishimura
5
59 kgSchreurs
7
69 kgSmith
8
67 kgPerry
22
71 kgOram
24
68 kgVermeulen
27
66 kgWilliams
30
73 kg
5
59 kgSchreurs
7
69 kgSmith
8
67 kgPerry
22
71 kgOram
24
68 kgVermeulen
27
66 kgWilliams
30
73 kg
Weight (KG) →
Result →
73
59
5
30
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | NISHIMURA Hiroki | 59 |
| 7 | SCHREURS Hamish | 69 |
| 8 | SMITH Dion | 67 |
| 22 | PERRY Benjamin | 71 |
| 24 | ORAM James | 68 |
| 27 | VERMEULEN Alexey | 66 |
| 30 | WILLIAMS Tyler | 73 |