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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Gavazzi
5
67 kgMoser
6
79 kgSegersall
7
65 kgBaronchelli
8
72 kgSaronni
12
65 kgVandi
15
64 kgSefton
22
68 kg
5
67 kgMoser
6
79 kgSegersall
7
65 kgBaronchelli
8
72 kgSaronni
12
65 kgVandi
15
64 kgSefton
22
68 kg
Weight (KG) →
Result →
79
64
5
22
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GAVAZZI Pierino | 67 |
| 6 | MOSER Francesco | 79 |
| 7 | SEGERSALL Alf | 65 |
| 8 | BARONCHELLI Gianbattista | 72 |
| 12 | SARONNI Giuseppe | 65 |
| 15 | VANDI Alfio | 64 |
| 22 | SEFTON Clyde | 68 |