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 = 0.4 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Small
1
55 kgBronzini
4
54 kgPenton
6
55 kgPintar
7
56 kgLichtenberg
8
52 kgNeylan
9
52 kgHoffmann
12
62 kg
1
55 kgBronzini
4
54 kgPenton
6
55 kgPintar
7
56 kgLichtenberg
8
52 kgNeylan
9
52 kgHoffmann
12
62 kg
Weight (KG) →
Result →
62
52
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SMALL Carmen | 55 |
| 4 | BRONZINI Giorgia | 54 |
| 6 | PENTON Sara | 55 |
| 7 | PINTAR Urška | 56 |
| 8 | LICHTENBERG Claudia | 52 |
| 9 | NEYLAN Rachel | 52 |
| 12 | HOFFMANN Chantal | 62 |