(a) Erom the scatterplot in Figure Q4(a), make a conclusion about the data set. (4) marks) to be when they haven't yet sprouted and have a height of 0 cm. She decides to construct a PERCENT CONE ( % confidence interval) for the true intcreept of the regression line between age and height by bootstrapping the seges intercept, 5,000 times. To assist with this, she first creates a function returns the intercept which takes in a table and two column names as input and partially code in Figure of the least squares regression line. She then wrinter the partally array). Fill in the Q4(b) to create the confidence intery al blanks with the appropriate codes Figure Q4(b) (6 marks) (c) Explain THREE (3) Big Data challenges. (15 marks)