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 = -1.7 * weight + 145
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Morton
1
62 kgFranck
2
86 kgOram
4
68 kgSmith
12
67 kgIchimaru
36
72 kgSirironnachai
97
61 kg
1
62 kgFranck
2
86 kgOram
4
68 kgSmith
12
67 kgIchimaru
36
72 kgSirironnachai
97
61 kg
Weight (KG) →
Result →
86
61
1
97
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MORTON Lachlan | 62 |
| 2 | FRANCK Eamon Lucas | 86 |
| 4 | ORAM James | 68 |
| 12 | SMITH Dion | 67 |
| 36 | ICHIMARU Shogo | 72 |
| 97 | SIRIRONNACHAI Sarawut | 61 |