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 - 149
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Yates
2
73 kgJenner
3
68 kgMiller
5
72 kgReid
21
62 kgGuyton
45
74 kgChapman
64
78 kg
2
73 kgJenner
3
68 kgMiller
5
72 kgReid
21
62 kgGuyton
45
74 kgChapman
64
78 kg
Weight (KG) →
Result →
78
62
2
64
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | YATES Jeremy | 73 |
| 3 | JENNER Christopher | 68 |
| 5 | MILLER Graeme | 72 |
| 21 | REID Robin | 62 |
| 45 | GUYTON Scott | 74 |
| 64 | CHAPMAN Joe | 78 |