\f1. (1 mark) Create a scatterplot of repair cost against age. The relationship shown in the scatterplot is X 2. (1 mark) The histogram of residuals is 3. (1 mark) The residual plot shows a random scatter of points for the whole range of ages 4. (1 mark) The piece of machinery that is the oldest also has the most repair costs 5. (2 marks) The piece of machinery with the largest residual had an age of 10.59 and had a repair cost of 40.044 dollars. Calculate the value of the residual. Type your answer with 3dp. 6. (2 marks) The slope of the regression line is equal to (type your answer with 3dp): 7. (1 mark) The p-value for testing the slope of the regression line is less than 0.05. 8. (2 marks) The most appropriate conclusion to the question: Is age a useful predictor of the repair cost of machinery? # 9. (1 mark) The correlation is (type your answer with 3dp): 10. (1 mark) Can we predict age when repair cost is 26? X 11. (2 marks) Use the regression equation to predict the cost repairing a machine when the machine age is 11. Type your answer with 3dp. X 12. (3 marks) We are 95% confident that for each year older the repair cost * between * and x dollars. Type your answer with 3dp