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 = 0.5 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Spruch
3
68 kgHamilton
4
65 kgBrożyna
5
65 kgSerpellini
8
75 kgVainšteins
9
72 kg
3
68 kgHamilton
4
65 kgBrożyna
5
65 kgSerpellini
8
75 kgVainšteins
9
72 kg
Weight (KG) →
Result →
75
65
3
9
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SPRUCH Zbigniew | 68 |
| 4 | HAMILTON Tyler | 65 |
| 5 | BROŻYNA Tomasz | 65 |
| 8 | SERPELLINI Marco | 75 |
| 9 | VAINŠTEINS Romāns | 72 |