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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Tuft
4
77 kgParisien
5
64 kgRoth
7
70 kgWohlberg
11
63 kgBell
14
75 kgKabush
14
75 kgRoutley
14
69 kg
4
77 kgParisien
5
64 kgRoth
7
70 kgWohlberg
11
63 kgBell
14
75 kgKabush
14
75 kgRoutley
14
69 kg
Weight (KG) →
Result →
77
63
4
14
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | TUFT Svein | 77 |
| 5 | PARISIEN François | 64 |
| 7 | ROTH Ryan | 70 |
| 11 | WOHLBERG Eric | 63 |
| 14 | BELL Zach | 75 |
| 14 | KABUSH Geoff | 75 |
| 14 | ROUTLEY Will | 69 |