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 + 6
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Nuyens
1
68 kgBellotti
2
65 kgCelestino
3
67 kgNardello
4
74 kgHamburger
5
58 kgSimeoni
7
68 kgPugaci
8
67 kg
1
68 kgBellotti
2
65 kgCelestino
3
67 kgNardello
4
74 kgHamburger
5
58 kgSimeoni
7
68 kgPugaci
8
67 kg
Weight (KG) →
Result →
74
58
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NUYENS Nick | 68 |
| 2 | BELLOTTI Francesco | 65 |
| 3 | CELESTINO Mirko | 67 |
| 4 | NARDELLO Daniele | 74 |
| 5 | HAMBURGER Bo | 58 |
| 7 | SIMEONI Filippo | 68 |
| 8 | PUGACI Igor | 67 |