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 = -0.2 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Smith
2
67 kgOram
6
68 kgFranck
7
86 kgMorton
14
62 kgSirironnachai
26
61 kgIchimaru
48
72 kg
2
67 kgOram
6
68 kgFranck
7
86 kgMorton
14
62 kgSirironnachai
26
61 kgIchimaru
48
72 kg
Weight (KG) →
Result →
86
61
2
48
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SMITH Dion | 67 |
| 6 | ORAM James | 68 |
| 7 | FRANCK Eamon Lucas | 86 |
| 14 | MORTON Lachlan | 62 |
| 26 | SIRIRONNACHAI Sarawut | 61 |
| 48 | ICHIMARU Shogo | 72 |