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.
Kreuziger
1
65 kgŠpilak
2
68 kgBiesek
4
66 kgvan Amerongen
6
70 kgBoasson Hagen
7
75 kgKangert
10
65 kg
1
65 kgŠpilak
2
68 kgBiesek
4
66 kgvan Amerongen
6
70 kgBoasson Hagen
7
75 kgKangert
10
65 kg
Weight (KG) →
Result →
75
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KREUZIGER Roman | 65 |
| 2 | ŠPILAK Simon | 68 |
| 4 | BIESEK Szymon | 66 |
| 6 | VAN AMERONGEN Thijs | 70 |
| 7 | BOASSON HAGEN Edvald | 75 |
| 10 | KANGERT Tanel | 65 |