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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Kelly
4
77 kgBallerini
8
78 kgDomínguez
10
67 kgGianetti
11
62 kgSaronni
12
65 kgInduráin
15
76 kgHodge
18
74 kg
4
77 kgBallerini
8
78 kgDomínguez
10
67 kgGianetti
11
62 kgSaronni
12
65 kgInduráin
15
76 kgHodge
18
74 kg
Weight (KG) →
Result →
78
62
4
18
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KELLY Sean | 77 |
| 8 | BALLERINI Franco | 78 |
| 10 | DOMÍNGUEZ Manuel Jorge | 67 |
| 11 | GIANETTI Mauro | 62 |
| 12 | SARONNI Giuseppe | 65 |
| 15 | INDURÁIN Miguel | 76 |
| 18 | HODGE Stephen | 74 |