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 = 0.9 * weight - 51
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Mahorič
1
68 kgKvachuk
7
68 kgRogina
10
70 kgKoren
12
72 kgSagan
14
65 kgFlückiger
18
70 kgKvasina
19
72 kg
1
68 kgKvachuk
7
68 kgRogina
10
70 kgKoren
12
72 kgSagan
14
65 kgFlückiger
18
70 kgKvasina
19
72 kg
Weight (KG) →
Result →
72
65
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAHORIČ Mitja | 68 |
| 7 | KVACHUK Oleksandr | 68 |
| 10 | ROGINA Radoslav | 70 |
| 12 | KOREN Kristijan | 72 |
| 14 | SAGAN Juraj | 65 |
| 18 | FLÜCKIGER Lukas | 70 |
| 19 | KVASINA Matija | 72 |