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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Knudsen
1
79 kgSaronni
2
65 kgSchuiten
3
83 kgBaronchelli
4
72 kgNilsson
9
63 kg
1
79 kgSaronni
2
65 kgSchuiten
3
83 kgBaronchelli
4
72 kgNilsson
9
63 kg
Weight (KG) →
Result →
83
63
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KNUDSEN Knut | 79 |
| 2 | SARONNI Giuseppe | 65 |
| 3 | SCHUITEN Roy | 83 |
| 4 | BARONCHELLI Gianbattista | 72 |
| 9 | NILSSON Sven-Åke | 63 |