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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Rominger
1
65 kgSkibby
4
70 kgLeMond
6
67 kgKelly
7
77 kgFondriest
10
70 kgUgrumov
15
58 kg
1
65 kgSkibby
4
70 kgLeMond
6
67 kgKelly
7
77 kgFondriest
10
70 kgUgrumov
15
58 kg
Weight (KG) →
Result →
77
58
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMINGER Tony | 65 |
| 4 | SKIBBY Jesper | 70 |
| 6 | LEMOND Greg | 67 |
| 7 | KELLY Sean | 77 |
| 10 | FONDRIEST Maurizio | 70 |
| 15 | UGRUMOV Piotr | 58 |