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 = -3.8 * weight + 317
This means that on average for every extra kilogram weight a rider loses -3.8 positions in the result.
Hodge
5
74 kgKelly
16
77 kgAlonso
39
70 kgNavarro
59
77 kgArntz
63
70 kgFernández
65
68 kgMauri
69
68 kg
5
74 kgKelly
16
77 kgAlonso
39
70 kgNavarro
59
77 kgArntz
63
70 kgFernández
65
68 kgMauri
69
68 kg
Weight (KG) →
Result →
77
68
5
69
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | HODGE Stephen | 74 |
| 16 | KELLY Sean | 77 |
| 39 | ALONSO Marino | 70 |
| 59 | NAVARRO Francisco | 77 |
| 63 | ARNTZ Marcel | 70 |
| 65 | FERNÁNDEZ Juan | 68 |
| 69 | MAURI Melchor | 68 |