The table gives 5 paired observations of x = load in kN and y = extension in mm. Use the least-squares line ŷ = a + b·x. Find the slope b.
Linear regression & correlation worksheet with answers
The table gives 5 paired observations of x = car age in years and y = price in k€. Use the least-squares line ŷ = a + b·x. Find the slope b.
The table gives 5 paired observations of x = load in kN and y = extension in mm. Find the coefficient of determination r² of the least-squares line.
The table gives 6 paired observations of x = car age in years and y = price in k€. Find Pearson's correlation coefficient r.
The table gives 6 paired observations of x = temperature in °C and y = ice creams sold. Use the least-squares line ŷ = a + b·x. A new observation (20, 67) is made. Find its residual e = y − ŷ.
The table gives 5 paired observations of x = car age in years and y = price in k€. Use the least-squares line ŷ = a + b·x. A new observation (1.5, 30) is made. Find its residual e = y − ŷ.
Answer key
- 1. b = 2.2
- 2. b = −3.4
- 3. r² = 0.9645
- 4. r = −0.9678
- 5. e = 4
- 6. e = 5
Full step-by-step solutions: practise this topic on examproblems.com.