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 = -1.6 * weight + 148
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Morton
1
62 kgSmith
13
67 kgFranck
17
86 kgOram
25
68 kgPutt
38
75 kgIchimaru
47
72 kgSirironnachai
124
61 kg
1
62 kgSmith
13
67 kgFranck
17
86 kgOram
25
68 kgPutt
38
75 kgIchimaru
47
72 kgSirironnachai
124
61 kg
Weight (KG) →
Result →
86
61
1
124
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MORTON Lachlan | 62 |
| 13 | SMITH Dion | 67 |
| 17 | FRANCK Eamon Lucas | 86 |
| 25 | ORAM James | 68 |
| 38 | PUTT Tanner | 75 |
| 47 | ICHIMARU Shogo | 72 |
| 124 | SIRIRONNACHAI Sarawut | 61 |