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 = 2.2 * weight - 105
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Putt
10
75 kgSirironnachai
12
61 kgSmith
23
67 kgOram
35
68 kgIchimaru
37
72 kgMorton
70
62 kgCataford
91
70 kgFranck
106
86 kg
10
75 kgSirironnachai
12
61 kgSmith
23
67 kgOram
35
68 kgIchimaru
37
72 kgMorton
70
62 kgCataford
91
70 kgFranck
106
86 kg
Weight (KG) →
Result →
86
61
10
106
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | PUTT Tanner | 75 |
| 12 | SIRIRONNACHAI Sarawut | 61 |
| 23 | SMITH Dion | 67 |
| 35 | ORAM James | 68 |
| 37 | ICHIMARU Shogo | 72 |
| 70 | MORTON Lachlan | 62 |
| 91 | CATAFORD Alexander | 70 |
| 106 | FRANCK Eamon Lucas | 86 |