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 - 46
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Caethoven
1
67 kgBarbé
9
75 kgGrosdent
10
74 kgPauwels
19
65 kgShpilevsky
30
78 kg
1
67 kgBarbé
9
75 kgGrosdent
10
74 kgPauwels
19
65 kgShpilevsky
30
78 kg
Weight (KG) →
Result →
78
65
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CAETHOVEN Steven | 67 |
| 9 | BARBÉ Koen | 75 |
| 10 | GROSDENT William | 74 |
| 19 | PAUWELS Serge | 65 |
| 30 | SHPILEVSKY Boris | 78 |