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 = -0.4 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Naudužs
1
78 kgSilovs
3
79 kgRittsel
5
70 kgNieto
6
68 kgMickiewicz
8
74 kgBramati
9
72 kg
1
78 kgSilovs
3
79 kgRittsel
5
70 kgNieto
6
68 kgMickiewicz
8
74 kgBramati
9
72 kg
Weight (KG) →
Result →
79
68
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAUDUŽS Andris | 78 |
| 3 | SILOVS Juris | 79 |
| 5 | RITTSEL Martin | 70 |
| 6 | NIETO Germán | 68 |
| 8 | MICKIEWICZ Jacek | 74 |
| 9 | BRAMATI Davide | 72 |