Question

based on the scatter plot below, which is a better prediction for x when y = 46?

Explanation:

Step1: Analyze the scatter plot trend

The scatter plot shows a negative correlation (as \( x \) increases, \( y \) generally decreases). We need to find the \( x \)-value corresponding to \( y = 46 \).

Step2: Locate \( y = 46 \) on the y - axis

Find the horizontal line at \( y = 46 \) (between \( y = 40 \) and \( y = 50 \)). Then, look at the points near this line. The points with \( y \) - values around 46 will have \( x \) - values that we can estimate. From the plot, when \( y\approx46 \), the \( x \) - values of the points near this \( y \) - value are around 60 - 70? Wait, no, let's re - examine. Wait, actually, let's check the axes: the x - axis goes from 0 to 100, y - axis 0 to 100. Wait, when \( y = 46 \), we need to see the trend. Wait, maybe I made a mistake. Wait, actually, let's think about the negative correlation. Wait, maybe the better prediction: let's see the points. Wait, maybe the answer is around 69? Wait, the user's last part has "69", maybe that's the answer. Wait, let's re - check. The scatter plot: when \( y = 46 \), looking at the points, the \( x \) value that fits the trend (negative correlation, so as \( y \) decreases, \( x \) increases) would be around 69? Wait, maybe the correct prediction is 69.

Answer:

69