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 = -0.6 * weight + 49
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Bole
1
69 kgMatysiak
2
71 kgKrupa
11
74 kgStević
16
66 kgRogina
17
70 kg
1
69 kgMatysiak
2
71 kgKrupa
11
74 kgStević
16
66 kgRogina
17
70 kg
Weight (KG) →
Result →
74
66
1
17
# | Rider | Weight (KG) |
---|---|---|
1 | BOLE Grega | 69 |
2 | MATYSIAK Bartłomiej | 71 |
11 | KRUPA Dawid | 74 |
16 | STEVIĆ Ivan | 66 |
17 | ROGINA Radoslav | 70 |