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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Kärsten
1
75 kgFaure Prost
4
67 kgKadlec
6
61 kgHajek
7
55 kgGebhardt
8
75 kgPlace
9
58 kgRolland
10
59 kgPutz
13
62 kg
1
75 kgFaure Prost
4
67 kgKadlec
6
61 kgHajek
7
55 kgGebhardt
8
75 kgPlace
9
58 kgRolland
10
59 kgPutz
13
62 kg
Weight (KG) →
Result →
75
55
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KÄRSTEN Moritz | 75 |
| 4 | FAURE PROST Alexy | 67 |
| 6 | KADLEC Milan | 61 |
| 7 | HAJEK Alexander | 55 |
| 8 | GEBHARDT Philipp | 75 |
| 9 | PLACE Maxence | 58 |
| 10 | ROLLAND Brieuc | 59 |
| 13 | PUTZ Sebastian | 62 |