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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Moser
1
79 kgGimondi
3
78 kgGavazzi
6
67 kgBaronchelli
10
72 kgRiccomi
15
66 kgKnudsen
16
79 kgConti
18
79 kg
1
79 kgGimondi
3
78 kgGavazzi
6
67 kgBaronchelli
10
72 kgRiccomi
15
66 kgKnudsen
16
79 kgConti
18
79 kg
Weight (KG) →
Result →
79
66
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 3 | GIMONDI Felice | 78 |
| 6 | GAVAZZI Pierino | 67 |
| 10 | BARONCHELLI Gianbattista | 72 |
| 15 | RICCOMI Walter | 66 |
| 16 | KNUDSEN Knut | 79 |
| 18 | CONTI Tino | 79 |