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 = 0.3 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Gate
1
71 kgBennett
2
58 kgOram
3
68 kgSexton
4
71 kgBatt
8
76 kgPrice
9
77 kg
1
71 kgBennett
2
58 kgOram
3
68 kgSexton
4
71 kgBatt
8
76 kgPrice
9
77 kg
Weight (KG) →
Result →
77
58
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GATE Aaron | 71 |
| 2 | BENNETT George | 58 |
| 3 | ORAM James | 68 |
| 4 | SEXTON Tom | 71 |
| 8 | BATT Ethan | 76 |
| 9 | PRICE Corby | 77 |