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 = 0.1 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Saronni
1
65 kgBaronchelli
2
72 kgNilsson
5
63 kgKnudsen
9
79 kgVandi
12
64 kg
1
65 kgBaronchelli
2
72 kgNilsson
5
63 kgKnudsen
9
79 kgVandi
12
64 kg
Weight (KG) →
Result →
79
63
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 2 | BARONCHELLI Gianbattista | 72 |
| 5 | NILSSON Sven-Åke | 63 |
| 9 | KNUDSEN Knut | 79 |
| 12 | VANDI Alfio | 64 |