3) Below is a table of the population (in 100s) of a yeast colony observed at one- hour intervals: Follow the data-fitting procedure from class (explained in Sections 3.5.2 and 3.5.3 of the notes) to fit this data to a discrete-time logistic growth model. Use = 2 in your error function. Note: You do not need to implement a LASSO method: i.e., just take = 0. What is the predicted carrying capacity of the population? Is it stable? [[1, 0.061], [2, 0.087], [3, 0.132], [4, 0.203], [5, 0.288], [6, 0.431], [7, 0.593], [8, 0.856], [9, 1.255], [10, 1.720], [11, 2.375], [12, 3.184], [13, 4.102], [14, 5.063], [15, 5.888], [16, 6.725], [17, 7.212], [18, 7.549]]