how do you do 5.c, 6.c, and 6.d

5 . Spread of a rumor. The rumor "People who study math all get scholarships" spreads across a college campus. Data in the following Time, t Number, N. Who table show the number of students N who have heard the rumor after (in days) Have Heard the Rumor time t, in days. The scatterplot of the data is also shown. N + N 7 12 56 0 Va VIT WI 18 24 N (in peopley 26 10 11 29 12 30 a) Based on the scatterplot only, which model (linear, quadratic, exponential growth, exponential decay, log, or logistic) would you say we should use to model the situation? (Explain your choice. the scatterplot looks like, a logistic graph model which is f (x ) = a It be - kx - our is reaching salinity The b) Use REGRESSION to fit a equation to the data. As a reminder, the commands for each model are listed below. Write the equation of the model here. STAT, Edit (enter data into Li and Lz) MODEL: CALCULATOR COMMAND: Linear 4:LinReg (ax+b) STAT, CALC (scroll down to model) Quadratic 5:QuadReg ENTER until screen changes Logarithmic 9:LnReg Exponential 0:ExpReg C Logistic B: Logistic YE INtae ( - bx ) 29. 47 y 1+ (79. 6) p (- (0.8 ) x 1 ) c) Is there a limit on how many students will hear the rumor? If yes, what is that value? yes, there is a limit as the graph will eventually slow down. The number of people" the hear, the rumors will start to level off as time goes by and it reache ) it's maximum impact on the population