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 + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Schets
1
74 kgCavendish
2
70 kgKluge
3
83 kgScognamiglio
4
67 kgDall'Antonia
7
70 kgKux
21
74 kg
1
74 kgCavendish
2
70 kgKluge
3
83 kgScognamiglio
4
67 kgDall'Antonia
7
70 kgKux
21
74 kg
Weight (KG) →
Result →
83
67
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHETS Steve | 74 |
| 2 | CAVENDISH Mark | 70 |
| 3 | KLUGE Roger | 83 |
| 4 | SCOGNAMIGLIO Carlo | 67 |
| 7 | DALL'ANTONIA Tiziano | 70 |
| 21 | KUX Christian | 74 |