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 trend

As the total cost of items increases ($25, $45, $50, $70), the shipping costs also generally increase ($5.99, $8.99, $8.99, $10.99). So it is a positive - correlation.

Step2: Analyze the strength

The increase in shipping costs is not very consistent. For example, when the cost of items 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