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 = 0.5 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Vanderaerden
1
74 kgGlaus
2
67 kgDemierre
6
70 kgHoste
8
76 kgKelly
9
77 kg
1
74 kgGlaus
2
67 kgDemierre
6
70 kgHoste
8
76 kgKelly
9
77 kg
Weight (KG) →
Result →
77
67
1
9
# | Rider | Weight (KG) |
---|---|---|
1 | VANDERAERDEN Eric | 74 |
2 | GLAUS Gilbert | 67 |
6 | DEMIERRE Serge | 70 |
8 | HOSTE Frank | 76 |
9 | KELLY Sean | 77 |