e. Recall that we can often determine which type of model is most appropriate for a data set based on the scatter plot. Suppose we get a scatter plot with the following behaviors and determine which model(s) is/are most appropriate. No curvature indicates a(n) linear model. A single concavity indicates a(n) exponential , logarithmic , or ____quadratic__ model. An inflection point indicates a(n) cubic or logistic model. A limiting value indicates a(n) logistic or exponential model. f. Suppose that a scatter plot is concave down everywhere, has positive output values, and the input values range from x = -1 to x = 5. Which type of model would be most appropriate for this data? Explain why no other type of model is appropriate. Quadratic One concavity rules out linear, logistic, cubic. Positive output values while concave down rules out exponential. Negative input values rule out logarithmic.
