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 = 0.6 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Andersson
1
71 kgBrożyna
2
65 kgWalton
6
68 kgMizurov
7
68 kgWhite
9
72 kgVoigt
10
76 kg
1
71 kgBrożyna
2
65 kgWalton
6
68 kgMizurov
7
68 kgWhite
9
72 kgVoigt
10
76 kg
Weight (KG) →
Result →
76
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANDERSSON Michael | 71 |
| 2 | BROŻYNA Tomasz | 65 |
| 6 | WALTON Brian | 68 |
| 7 | MIZUROV Andrey | 68 |
| 9 | WHITE Matthew | 72 |
| 10 | VOIGT Jens | 76 |