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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Kelemen
1
70 kgBoroš
4
69 kgFetter
6
70 kgŤoupalík
7
65 kgVoisard
8
56 kgVinokurov
9
65 kgOttema
10
77 kg
1
70 kgBoroš
4
69 kgFetter
6
70 kgŤoupalík
7
65 kgVoisard
8
56 kgVinokurov
9
65 kgOttema
10
77 kg
Weight (KG) →
Result →
77
56
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELEMEN Petr | 70 |
| 4 | BOROŠ Michael | 69 |
| 6 | FETTER Erik | 70 |
| 7 | ŤOUPALÍK Jakub | 65 |
| 8 | VOISARD Yannis | 56 |
| 9 | VINOKUROV Nicolas | 65 |
| 10 | OTTEMA Rick | 77 |