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 = 0.6 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Baronchelli
1
72 kgVandi
4
64 kgPrim
6
76 kgSaronni
9
65 kgKnudsen
21
79 kg
1
72 kgVandi
4
64 kgPrim
6
76 kgSaronni
9
65 kgKnudsen
21
79 kg
Weight (KG) →
Result →
79
64
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARONCHELLI Gianbattista | 72 |
| 4 | VANDI Alfio | 64 |
| 6 | PRIM Tommy | 76 |
| 9 | SARONNI Giuseppe | 65 |
| 21 | KNUDSEN Knut | 79 |