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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | ŠIŠKEVIČIUS Evaldas | 80 |
3 | BOECKMANS Kris | 76 |
5 | GUARDINI Andrea | 66 |
6 | DE BUYST Jasper | 72 |
7 | MCLAY Daniel | 72 |
8 | COQUARD Bryan | 59 |
9 | HIVERT Jonathan | 62 |
10 | LATOUR Pierre | 66 |
11 | BARBIER Rudy | 79 |
12 | BAUHAUS Phil | 75 |
13 | SCHORN Daniel | 72 |
14 | VAN LERBERGHE Bert | 83 |
16 | MATZKA Ralf | 69 |