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 = 0.2 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Mejia
1
63 kgBruyneel
2
71 kgYates
3
74 kgRoche
5
74 kgRominger
7
65 kgKelly
9
77 kg
1
63 kgBruyneel
2
71 kgYates
3
74 kgRoche
5
74 kgRominger
7
65 kgKelly
9
77 kg
Weight (KG) →
Result →
77
63
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEJIA Alvaro | 63 |
| 2 | BRUYNEEL Johan | 71 |
| 3 | YATES Sean | 74 |
| 5 | ROCHE Stephen | 74 |
| 7 | ROMINGER Tony | 65 |
| 9 | KELLY Sean | 77 |