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 = -1.2 * weight + 115
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Franck
6
86 kgSmith
9
67 kgPutt
18
75 kgSirironnachai
41
61 kgOram
42
68 kgIchimaru
65
72 kg
6
86 kgSmith
9
67 kgPutt
18
75 kgSirironnachai
41
61 kgOram
42
68 kgIchimaru
65
72 kg
Weight (KG) →
Result →
86
61
6
65
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | FRANCK Eamon Lucas | 86 |
| 9 | SMITH Dion | 67 |
| 18 | PUTT Tanner | 75 |
| 41 | SIRIRONNACHAI Sarawut | 61 |
| 42 | ORAM James | 68 |
| 65 | ICHIMARU Shogo | 72 |