Question

based on the scatter plot below, which is a better prediction for x when y = 26? 100 80 60 40 20 0 20 40 60 80 100 35 98

Explanation:

Step1: Analyze the scatter plot trend

The scatter plot shows a positive correlation (as \( y \) increases, \( x \) generally increases). We need to find the \( x \)-value corresponding to \( y = 26 \) by looking at the pattern of the points.

Step2: Estimate \( x \) for \( y = 26 \)

Looking at the lower \( y \)-values (around \( y = 26 \) or similar ranges), the \( x \)-values for those \( y \)-values are in the lower range. From the plot, when \( y \) is around 26, the \( x \)-value should be around 35 (since 98 is a very high \( x \) which would correspond to high \( y \), but \( y = 26 \) is low, so 35 is better).

Answer:

35