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 = -0.1 * weight + 7
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Clarke
1
68 kgGranigan
2
76 kgStites
3
60 kgHenao
4
61 kgJackson
6
75 kgArango
7
62 kg
1
68 kgGranigan
2
76 kgStites
3
60 kgHenao
4
61 kgJackson
6
75 kgArango
7
62 kg
Weight (KG) →
Result →
76
60
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CLARKE Jonathan | 68 |
| 2 | GRANIGAN Noah | 76 |
| 3 | STITES Tyler | 60 |
| 4 | HENAO Sergio | 61 |
| 6 | JACKSON George | 75 |
| 7 | ARANGO Juan Esteban | 62 |