The following data sample gives the ages (years) and number of breakdowns in one month, of seven machines in a large firm. AGE (years) 12 7 2 8 13 9 4 Number of 10 5 4 12 7 2 Breakdowns Draw a scatter plot of this sample Draw an estimated regression line in your scatter plot. Calculate the correlation coefficient (r) between the ages and number of breakdowns of machines. Find the estimated regression equation of this data. d) Use your regression equation to predict the number of breakdowns a 10 year old machine is likely to experience each month. ) Calculate the likely age of a machine that experienced 12 breakdowns per month