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 + 2
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Rominger
1
65 kgDufaux
4
60 kgHodge
5
74 kgJaskuła
6
76 kgDelgado
10
64 kg
1
65 kgDufaux
4
60 kgHodge
5
74 kgJaskuła
6
76 kgDelgado
10
64 kg
Weight (KG) →
Result →
76
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMINGER Tony | 65 |
| 4 | DUFAUX Laurent | 60 |
| 5 | HODGE Stephen | 74 |
| 6 | JASKUŁA Zenon | 76 |
| 10 | DELGADO Pedro | 64 |