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 = 0.4 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Wyss
1
63 kgFrank
2
64 kgSchurter
8
68 kgSchär
10
78 kgTaramarcaz
11
64 kg
1
63 kgFrank
2
64 kgSchurter
8
68 kgSchär
10
78 kgTaramarcaz
11
64 kg
Weight (KG) →
Result →
78
63
1
11
# | Rider | Weight (KG) |
---|---|---|
1 | WYSS Marcel | 63 |
2 | FRANK Mathias | 64 |
8 | SCHURTER Nino | 68 |
10 | SCHÄR Michael | 78 |
11 | TARAMARCAZ Julien | 64 |