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 = -0.9 * weight + 78
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Elliott
1
76 kgSergeant
6
76 kgWeltz
12
65 kgKelly
16
77 kgArgentin
19
66 kgDelgado
21
64 kgDomínguez
22
67 kg
1
76 kgSergeant
6
76 kgWeltz
12
65 kgKelly
16
77 kgArgentin
19
66 kgDelgado
21
64 kgDomínguez
22
67 kg
Weight (KG) →
Result →
77
64
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ELLIOTT Malcolm | 76 |
| 6 | SERGEANT Marc | 76 |
| 12 | WELTZ Johnny | 65 |
| 16 | KELLY Sean | 77 |
| 19 | ARGENTIN Moreno | 66 |
| 21 | DELGADO Pedro | 64 |
| 22 | DOMÍNGUEZ Manuel Jorge | 67 |