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 = -0.7 * weight + 54
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Cipollini
1
77 kgSvorada
3
76 kgZberg
4
72 kgLombardi
5
73 kgSørensen
6
70 kgPiziks
7
70 kg
1
77 kgSvorada
3
76 kgZberg
4
72 kgLombardi
5
73 kgSørensen
6
70 kgPiziks
7
70 kg
Weight (KG) →
Result →
77
70
1
7
# | Rider | Weight (KG) |
---|---|---|
1 | CIPOLLINI Mario | 77 |
3 | SVORADA Ján | 76 |
4 | ZBERG Beat | 72 |
5 | LOMBARDI Giovanni | 73 |
6 | SØRENSEN Rolf | 70 |
7 | PIZIKS Arvis | 70 |