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 = -0.3 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Mauri
2
68 kgKelly
4
77 kgSørensen
7
70 kgElliott
8
76 kgSergeant
10
76 kgSciandri
17
75 kgDelgado
19
64 kg
2
68 kgKelly
4
77 kgSørensen
7
70 kgElliott
8
76 kgSergeant
10
76 kgSciandri
17
75 kgDelgado
19
64 kg
Weight (KG) →
Result →
77
64
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAURI Melchor | 68 |
| 4 | KELLY Sean | 77 |
| 7 | SØRENSEN Rolf | 70 |
| 8 | ELLIOTT Malcolm | 76 |
| 10 | SERGEANT Marc | 76 |
| 17 | SCIANDRI Maximilian | 75 |
| 19 | DELGADO Pedro | 64 |