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 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Rojas
1
64 kgFlanagan
7
67 kgRuiz
8
57 kgMcDunphy
9
70 kgCross
12
65 kgHaug
18
67 kgLópez
19
61 kg
1
64 kgFlanagan
7
67 kgRuiz
8
57 kgMcDunphy
9
70 kgCross
12
65 kgHaug
18
67 kgLópez
19
61 kg
Weight (KG) →
Result →
70
57
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS Brandon Alejandro | 64 |
| 7 | FLANAGAN Liam | 67 |
| 8 | RUIZ Jeferson Armando | 57 |
| 9 | MCDUNPHY Conn | 70 |
| 12 | CROSS Eugene | 65 |
| 18 | HAUG Kieran | 67 |
| 19 | LÓPEZ Robinson Fabián | 61 |