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 = 2.6 * weight - 168
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Jenner
1
68 kgMiller
2
72 kgYates
4
73 kgReid
13
62 kgGuyton
32
74 kgChapman
62
78 kg
1
68 kgMiller
2
72 kgYates
4
73 kgReid
13
62 kgGuyton
32
74 kgChapman
62
78 kg
Weight (KG) →
Result →
78
62
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JENNER Christopher | 68 |
| 2 | MILLER Graeme | 72 |
| 4 | YATES Jeremy | 73 |
| 13 | REID Robin | 62 |
| 32 | GUYTON Scott | 74 |
| 62 | CHAPMAN Joe | 78 |