A local coffee shop models the number of customers in its shop according to the time of day (t= 0 corresponds to the opening time of 5:00 a.m.) by counting customers at certain times and taking the average number The coffee shop uses the polynomial regression M) = -0.07 – 0.04P + 5.2t + 30 with the coefficient of determination 2 = 0.94. customers over a one-month perioc N(t) 12 s this model appropriate for tvalues between O and 10? O No, this model is not appropriate because this data should be modeled by a logistic function. O No, this model is not appropriate because this data should be modeled by a linear function. O Yes, this model is appropriate because the number of customers is concave down between t= 0 and t= 10. O Yes, this model is appropriate because this data should be modeled by a polynomial, and the function fits the data strongly.