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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bartali
1
69 kgScorticati
4
68 kgGotti
5
72 kgBuse
8
74 kgSieronski
9
78 kgLe Goff
13
63 kg
1
69 kgScorticati
4
68 kgGotti
5
72 kgBuse
8
74 kgSieronski
9
78 kgLe Goff
13
63 kg
Weight (KG) →
Result →
78
63
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARTALI Gino | 69 |
| 4 | SCORTICATI Renato | 68 |
| 5 | GOTTI Giovanni | 72 |
| 8 | BUSE Hermann | 74 |
| 9 | SIERONSKI Herbert | 78 |
| 13 | LE GOFF Eugène | 63 |