9-7 Linear, Quadratic, Exponential Models

Explanation
A linear function best models the set of data points because the data points can be connected by a straight line. A linear function is in the form y = mx + b, where m is the slope of the line and b is the y-intercept. The given data points can be plotted on a graph and connected by a straight line, indicating that a linear function is the best fit for the data.

Explanation
None of the above functions can accurately model the given set of data points. A linear function would result in a straight line, which does not fit the data. A quadratic function would result in a parabolic curve, which also does not fit the data. An exponential function would result in a curve that either increases or decreases rapidly, which does not match the pattern of the given data. Therefore, none of the above functions can accurately model the given data points.

Explanation
Exponential function can be used to model data pairs that have a common ratio. This is because exponential functions have a constant ratio between successive terms, which is a characteristic of data pairs that have a common ratio. Linear and quadratic functions do not have this property, so they cannot accurately model data pairs with a common ratio. Therefore, the correct answer is exponential.

Explanation
The graph shown is a decreasing linear function, which means that as the number of games won increases, the attendance decreases. This suggests that the success of the team negatively affects the attendance at the basketball games. Therefore, the function that represents this relationship is a linear function with a negative slope.

Explanation
The answer is Exponential because the question asks about the type of function represented by the equation, but the equation itself is not provided. Since there is no equation given, it is not possible to determine the specific type of function. Therefore, the correct answer is "None of the above".