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 = 1 * weight - 55
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Zahiri
1
57 kgGaravaglia
2
65 kgBagioli
5
60 kgZana
8
65 kgCovi
11
66 kgScaroni
12
63 kgOldani
13
65 kgFedeli
14
65 kg
1
57 kgGaravaglia
2
65 kgBagioli
5
60 kgZana
8
65 kgCovi
11
66 kgScaroni
12
63 kgOldani
13
65 kgFedeli
14
65 kg
Weight (KG) →
Result →
66
57
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZAHIRI Abderrahim | 57 |
| 2 | GARAVAGLIA Giacomo | 65 |
| 5 | BAGIOLI Andrea | 60 |
| 8 | ZANA Filippo | 65 |
| 11 | COVI Alessandro | 66 |
| 12 | SCARONI Christian | 63 |
| 13 | OLDANI Stefano | 65 |
| 14 | FEDELI Alessandro | 65 |