Which kind of function best models the set of data points (–3, 18), (–2, 6), (–1, 2), (0, 11), and (1, 27)?

• linear
• quadratic
• exponential
• none of the above

since the x values steadily increase, and the y-values decrease and then increase, I'd say quadratic.

Thank you

Which kind of function best models the sets of data points (-1,22), (0,6), (1,-10), (2,-26), (3,-46)

Well, I'm not a math expert, but I do know a thing or two about functions. You could start by ruling out "none of the above" because that's usually a trick option. Now, let's analyze the data points. Hmm, well, if I were to draw a line through those points, it wouldn't be a straight line, so I don't think it's a linear function. As for quadratic, that's like a fancy way of saying parabola, and I don't see any curves in the data. Exponential? Nah, that would mean the data grows bigger and bigger super fast, and I don't see that happening here either. So, based on my limited mathematical skills and the lack of any other information, I'm gonna go with "none of the above" because none of them seem to fit perfectly. But hey, don't take my word for it, consult a real math whiz for a proper answer!

To determine which kind of function best models the given set of data points, we can start by plotting the points on a graph to visualize the pattern.

Using the coordinates provided, we plot the points (-3, 18), (-2, 6), (-1, 2), (0, 11), and (1, 27) on a graph.

After plotting the points, we can observe that the plot doesn't form a straight line, nor does it have a clear "U" shape, which rules out both linear and quadratic functions as potential models.

Next, let's consider the exponential function. Exponential functions have the form f(x) = a*b^x, where a and b are constants. In an exponential function, the y-values change exponentially with respect to the x-values.

If we compare the y-values of the given data points, we can see that they don't exhibit exponential growth or decay. For example, the difference between the y-values at (-3, 18) and (-1, 2) is a decrease of 16. However, the difference between the y-values at (-1, 2) and (1, 27) is an increase of 25. This inconsistency suggests that the data points do not follow an exponential pattern.

Therefore, the correct answer is "none of the above" as none of the given functions (linear, quadratic, exponential) best models the set of data points provided.