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 = 3.5 * weight - 228
This means that on average for every extra kilogram weight a rider loses 3.5 positions in the result.
Reid
1
62 kgMiller
2
72 kgJenner
8
68 kgYates
9
73 kgGuyton
29
74 kgChapman
68
78 kg
1
62 kgMiller
2
72 kgJenner
8
68 kgYates
9
73 kgGuyton
29
74 kgChapman
68
78 kg
Weight (KG) →
Result →
78
62
1
68
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REID Robin | 62 |
| 2 | MILLER Graeme | 72 |
| 8 | JENNER Christopher | 68 |
| 9 | YATES Jeremy | 73 |
| 29 | GUYTON Scott | 74 |
| 68 | CHAPMAN Joe | 78 |