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 = -0.5 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Conti
1
79 kgRodríguez
6
70 kgBiddle
9
64 kgGimondi
12
78 kgRiccomi
15
66 kgSutter
29
70 kg
1
79 kgRodríguez
6
70 kgBiddle
9
64 kgGimondi
12
78 kgRiccomi
15
66 kgSutter
29
70 kg
Weight (KG) →
Result →
79
64
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CONTI Tino | 79 |
| 6 | RODRÍGUEZ Martín Emilio | 70 |
| 9 | BIDDLE Bruce | 64 |
| 12 | GIMONDI Felice | 78 |
| 15 | RICCOMI Walter | 66 |
| 29 | SUTTER Ueli | 70 |