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 = 0.4 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Kennaugh
1
66 kgMarycz
9
69 kgDowsett
13
75 kgCraven
16
75 kgVrečer
18
68 kgTaborre
19
66 kg
1
66 kgMarycz
9
69 kgDowsett
13
75 kgCraven
16
75 kgVrečer
18
68 kgTaborre
19
66 kg
Weight (KG) →
Result →
75
66
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KENNAUGH Peter | 66 |
| 9 | MARYCZ Jarosław | 69 |
| 13 | DOWSETT Alex | 75 |
| 16 | CRAVEN Dan | 75 |
| 18 | VREČER Robert | 68 |
| 19 | TABORRE Fabio | 66 |