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 - 23
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Newton
1
69 kgManning
4
76 kgSoutham
5
69 kgWiggins
7
76 kgCummings
9
73 kg
1
69 kgManning
4
76 kgSoutham
5
69 kgWiggins
7
76 kgCummings
9
73 kg
Weight (KG) →
Result →
76
69
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEWTON Christopher | 69 |
| 4 | MANNING Paul | 76 |
| 5 | SOUTHAM Tom | 69 |
| 7 | WIGGINS Bradley | 76 |
| 9 | CUMMINGS Steve | 73 |