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 + 7
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Deignan
1
57 kgCooke
2
58 kgLaws
3
54 kgTrott
5
56 kgMartin
6
57 kgRowe
7
65 kgWyman
20
56 kg
1
57 kgCooke
2
58 kgLaws
3
54 kgTrott
5
56 kgMartin
6
57 kgRowe
7
65 kgWyman
20
56 kg
Weight (KG) →
Result →
65
54
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEIGNAN Elizabeth | 57 |
| 2 | COOKE Nicole | 58 |
| 3 | LAWS Sharon | 54 |
| 5 | TROTT Laura | 56 |
| 6 | MARTIN Lucy | 57 |
| 7 | ROWE Danielle | 65 |
| 20 | WYMAN Helen | 56 |