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 * weight + 7
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Efimkin
3
70 kgSantaromita
4
58 kgSalerno
5
64 kgPossoni
8
56 kgScognamiglio
9
67 kgVelasco
14
65 kg
3
70 kgSantaromita
4
58 kgSalerno
5
64 kgPossoni
8
56 kgScognamiglio
9
67 kgVelasco
14
65 kg
Weight (KG) →
Result →
70
56
3
14
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | EFIMKIN Alexander | 70 |
| 4 | SANTAROMITA Ivan | 58 |
| 5 | SALERNO Cristiano | 64 |
| 8 | POSSONI Morris | 56 |
| 9 | SCOGNAMIGLIO Carlo | 67 |
| 14 | VELASCO Iván | 65 |