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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Roche
1
74 kgKelly
2
77 kgvan der Poel
5
70 kgvan Vliet
7
65 kgNickson
8
76 kgHarmeling
9
76 kg
1
74 kgKelly
2
77 kgvan der Poel
5
70 kgvan Vliet
7
65 kgNickson
8
76 kgHarmeling
9
76 kg
Weight (KG) →
Result →
77
65
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROCHE Stephen | 74 |
| 2 | KELLY Sean | 77 |
| 5 | VAN DER POEL Adrie | 70 |
| 7 | VAN VLIET Leo | 65 |
| 8 | NICKSON Bill | 76 |
| 9 | HARMELING Rob | 76 |