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 = -1.9 * weight + 139
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
Kemps
1
73 kgVentoso
2
75 kgCorioni
8
67 kgLagutin
9
68 kgMusiol
10
70 kgSella
40
54 kg
1
73 kgVentoso
2
75 kgCorioni
8
67 kgLagutin
9
68 kgMusiol
10
70 kgSella
40
54 kg
Weight (KG) →
Result →
75
54
1
40
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KEMPS Aaron | 73 |
| 2 | VENTOSO Francisco José | 75 |
| 8 | CORIONI Claudio | 67 |
| 9 | LAGUTIN Sergey | 68 |
| 10 | MUSIOL Daniel | 70 |
| 40 | SELLA Emanuele | 54 |