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 = -0.8 * weight + 71
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Yates
1
74 kgKelly
7
77 kgPeeters
13
76 kgIlegems
14
74 kgDomínguez
16
67 kgElliott
18
76 kgChiappucci
21
67 kg
1
74 kgKelly
7
77 kgPeeters
13
76 kgIlegems
14
74 kgDomínguez
16
67 kgElliott
18
76 kgChiappucci
21
67 kg
Weight (KG) →
Result →
77
67
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YATES Sean | 74 |
| 7 | KELLY Sean | 77 |
| 13 | PEETERS Wilfried | 76 |
| 14 | ILEGEMS Roger | 74 |
| 16 | DOMÍNGUEZ Manuel Jorge | 67 |
| 18 | ELLIOTT Malcolm | 76 |
| 21 | CHIAPPUCCI Claudio | 67 |