the table shows the shipping costs for items of different values.\nshipping costs for items\n| total cost of…

the table shows the shipping costs for items of different values.\nshipping costs for items\n| total cost of items | shipping costs |\n| ---- | ---- |\n| $25 | $5.99 |\n| $45 | $8.99 |\n| $50 | $8.99 |\n| $70 | $10.99 |\nwhich best describes the strength of the model?\n- a weak positive correlation\n- a strong positive correlation\n- a weak negative correlation\n- a strong negative correlation

the table shows the shipping costs for items of different values.\nshipping costs for items\n| total cost of items | shipping costs |\n| ---- | ---- |\n| $25 | $5.99 |\n| $45 | $8.99 |\n| $50 | $8.99 |\n| $70 | $10.99 |\nwhich best describes the strength of the model?\n- a weak positive correlation\n- a strong positive correlation\n- a weak negative correlation\n- a strong negative correlation

Answer

Explanation:

Step1: Observe the data trends

As the total cost of items ($25, $45, $50, $70$) increases, the shipping costs ($5.99, $8.99, $8.99, $10.99$) also tend to increase. This indicates a positive - correlation.

Step2: Analyze the strength

The increase in shipping costs is not very consistent with the increase in item costs. For example, when the item cost increases from $45$ to $50$, the shipping cost remains the same. So, it is not a very strong positive - correlation. It is a weak positive correlation.

Answer:

a weak positive correlation