the table shows the shoe sizes of women of different ages. which best describes the strength of the model…

the table shows the shoe sizes of women of different ages. which best describes the strength of the model? womens age and shoe size age shoe size 18 7 30 10 52 6 64 9 a weak positive correlation a strong positive correlation a weak negative correlation a strong negative correlation

the table shows the shoe sizes of women of different ages. which best describes the strength of the model? womens age and shoe size age shoe size 18 7 30 10 52 6 64 9 a weak positive correlation a strong positive correlation a weak negative correlation a strong negative correlation

Answer

Explanation:

Step1: Observe data trends

As age increases from 18 - 30, shoe - size increases from 7 - 10. But as age further increases from 30 - 52, shoe - size decreases from 10 - 6, and then increases from 52 - 64 (from 6 - 9). There is no clear consistent upward or downward trend.

Step2: Determine correlation strength

Since the data does not show a clear consistent pattern of increase or decrease together, the correlation is weak. Also, the overall trend is not clearly negative as there are some increasing parts, so it is a weak positive correlation considering the general non - decreasing nature in some parts.

Answer:

a weak positive correlation