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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Velits
1
63 kgVelits
3
70 kgMartin
4
75 kgŠtybar
5
68 kgTimmer
6
77 kgBole
10
69 kg
1
63 kgVelits
3
70 kgMartin
4
75 kgŠtybar
5
68 kgTimmer
6
77 kgBole
10
69 kg
Weight (KG) →
Result →
77
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VELITS Peter | 63 |
| 3 | VELITS Martin | 70 |
| 4 | MARTIN Tony | 75 |
| 5 | ŠTYBAR Zdeněk | 68 |
| 6 | TIMMER Albert | 77 |
| 10 | BOLE Grega | 69 |