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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Yates
6
74 kgBaronchelli
8
72 kgGiupponi
11
60 kgSegersall
12
65 kgPrim
13
76 kg
6
74 kgBaronchelli
8
72 kgGiupponi
11
60 kgSegersall
12
65 kgPrim
13
76 kg
Weight (KG) →
Result →
76
60
6
13
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | YATES Sean | 74 |
| 8 | BARONCHELLI Gianbattista | 72 |
| 11 | GIUPPONI Flavio | 60 |
| 12 | SEGERSALL Alf | 65 |
| 13 | PRIM Tommy | 76 |