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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
El Gouzi
1
58 kgChzhan
2
71 kgGazzoli
13
76 kgPaquot
14
70 kgNovikov
17
65 kgMarukhin
25
64 kg
1
58 kgChzhan
2
71 kgGazzoli
13
76 kgPaquot
14
70 kgNovikov
17
65 kgMarukhin
25
64 kg
Weight (KG) →
Result →
76
58
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EL GOUZI Omar | 58 |
| 2 | CHZHAN Igor | 71 |
| 13 | GAZZOLI Michele | 76 |
| 14 | PAQUOT Tom | 70 |
| 17 | NOVIKOV Savva | 65 |
| 25 | MARUKHIN Daniil | 64 |