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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Martinello
4
71 kgSimon
5
70 kgJemison
6
71 kgGuidi
7
73 kgPiccoli
8
64 kgArmstrong
9
72 kg
4
71 kgSimon
5
70 kgJemison
6
71 kgGuidi
7
73 kgPiccoli
8
64 kgArmstrong
9
72 kg
Weight (KG) →
Result →
73
64
4
9
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MARTINELLO Silvio | 71 |
| 5 | SIMON François | 70 |
| 6 | JEMISON Marty | 71 |
| 7 | GUIDI Fabrizio | 73 |
| 8 | PICCOLI Mariano | 64 |
| 9 | ARMSTRONG Lance | 72 |