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 + 2
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
McGee
1
72 kgVogondy
2
62 kgAuger
3
78 kgRittsel
4
70 kgBalčiūnas
5
90 kgKjærgaard
7
74 kgSweet
9
69 kg
1
72 kgVogondy
2
62 kgAuger
3
78 kgRittsel
4
70 kgBalčiūnas
5
90 kgKjærgaard
7
74 kgSweet
9
69 kg
Weight (KG) →
Result →
90
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCGEE Bradley | 72 |
| 2 | VOGONDY Nicolas | 62 |
| 3 | AUGER Guillaume | 78 |
| 4 | RITTSEL Martin | 70 |
| 5 | BALČIŪNAS Linas | 90 |
| 7 | KJÆRGAARD Steffen | 74 |
| 9 | SWEET Jay | 69 |