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 = -5.3 * weight + 398
This means that on average for every extra kilogram weight a rider loses -5.3 positions in the result.
Larsson
2
77 kgLöfkvist
3
70 kgLjungqvist
5
73 kgAxelsson
9
73 kgRincon-Amat
63
67 kg
2
77 kgLöfkvist
3
70 kgLjungqvist
5
73 kgAxelsson
9
73 kgRincon-Amat
63
67 kg
Weight (KG) →
Result →
77
67
2
63
# | Rider | Weight (KG) |
---|---|---|
2 | LARSSON Gustav Erik | 77 |
3 | LÖFKVIST Thomas | 70 |
5 | LJUNGQVIST Marcus | 73 |
9 | AXELSSON Niklas | 73 |
63 | RINCON-AMAT Salvador | 67 |