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 + 15
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Bevin
1
75 kgBond
2
91 kgMccormick
3
72.5 kgBennett
4
58 kgOram
6
68 kgChristensen
9
63 kg
1
75 kgBond
2
91 kgMccormick
3
72.5 kgBennett
4
58 kgOram
6
68 kgChristensen
9
63 kg
Weight (KG) →
Result →
91
58
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BEVIN Patrick | 75 |
| 2 | BOND Hamish | 91 |
| 3 | MCCORMICK Hayden | 72.5 |
| 4 | BENNETT George | 58 |
| 6 | ORAM James | 68 |
| 9 | CHRISTENSEN Ryan | 63 |