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 = 0.8 * weight - 44
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Merckx
1
74 kgGodefroot
6
73 kgJansen
18
70 kgDemeyer
20
85 kgRosiers
25
78 kg
1
74 kgGodefroot
6
73 kgJansen
18
70 kgDemeyer
20
85 kgRosiers
25
78 kg
Weight (KG) →
Result →
85
70
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 6 | GODEFROOT Walter | 73 |
| 18 | JANSEN Harrie | 70 |
| 20 | DEMEYER Marc | 85 |
| 25 | ROSIERS Roger | 78 |