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 = 0.6 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Jenner
2
68 kgMiller
3
72 kgYates
5
73 kgGuyton
37
74 kgReid
40
62 kgChapman
52
78 kg
2
68 kgMiller
3
72 kgYates
5
73 kgGuyton
37
74 kgReid
40
62 kgChapman
52
78 kg
Weight (KG) →
Result →
78
62
2
52
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JENNER Christopher | 68 |
| 3 | MILLER Graeme | 72 |
| 5 | YATES Jeremy | 73 |
| 37 | GUYTON Scott | 74 |
| 40 | REID Robin | 62 |
| 52 | CHAPMAN Joe | 78 |