Which statement is true about the following regression? This scatterplot shows the number of viewers of some episodes with a polynomial regression. [The graph plots Number of Episodes on the horizontal axis and Number of Viewers in Thousands on the vertical axis. A wave-like curve falls from the second quadrant, then passes through the points (0, 10.8), (4.4, 1.6), (13.1, 10.4), and then falls through the fourth quadrant. A series of data points closely follows the curve and the equation near the curve reads: h of x equals negative 0.02398 times x cubed plus 0.6545 times x squared minus 4.5156 times x plus 10.93655, and r squared equals 0.96.] 2018 WGU, Powered by GeoGebra Question 2 of 12 Question 2This is not a form; we suggest that you use the browse mode and read all parts of the question carefully. A logistic function should be used to model the data. By h(19)3 , no viewers would watch Episode 19. A second-degree polynomial function should be used to model the data. By h(16)8 , there will be approximately 8 thousand viewers for Episode 16