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 = 0.7 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Baronchelli
1
72 kgJohansson
5
71 kgVandi
7
64 kgSefton
10
68 kgMartinelli
22
74 kg
1
72 kgJohansson
5
71 kgVandi
7
64 kgSefton
10
68 kgMartinelli
22
74 kg
Weight (KG) →
Result →
74
64
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARONCHELLI Gianbattista | 72 |
| 5 | JOHANSSON Bernt | 71 |
| 7 | VANDI Alfio | 64 |
| 10 | SEFTON Clyde | 68 |
| 22 | MARTINELLI Giuseppe | 74 |