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 = -0.2 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Haedo
10
64 kgJaramillo
11
63 kgGranigan
15
76 kgSchunk
18
65 kgCarman
19
66 kgStites
20
60 kgHoehn
22
63 kgAcevedo
23
63 kg
10
64 kgJaramillo
11
63 kgGranigan
15
76 kgSchunk
18
65 kgCarman
19
66 kgStites
20
60 kgHoehn
22
63 kgAcevedo
23
63 kg
Weight (KG) →
Result →
76
60
10
23
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | HAEDO Lucas Sebastián | 64 |
| 11 | JARAMILLO Daniel | 63 |
| 15 | GRANIGAN Noah | 76 |
| 18 | SCHUNK Conor | 65 |
| 19 | CARMAN Ben | 66 |
| 20 | STITES Tyler | 60 |
| 22 | HOEHN Alex | 63 |
| 23 | ACEVEDO Janier | 63 |