Answer:
So then the correlation coefficient would be r =0.98726
And the determination coeffcient would be:

And that means that the a linear model will explain about 97.5% of the variability in the data. So for this case we can conclude that we have a strong linear relationship.
Step-by-step explanation:
Data given
col1 x 20 40 60 80
col2 y 0.24 1.10 1.71 2.12
Solution to the problem
We can find the correlation coefficient we can use this formula:
For our case we have this:
n=4
So then the correlation coefficient would be r =0.98726
And the determination coeffcient would be:

And that means that the a linear model will explain about 97.5% of the variability in the data. So for this case we can conclude that we have a strong linear relationship.
Answer:
small 30 cups medium 40 cups large 30 cups
Step-by-step explanation:
i converted everything to liters then times that by ten for each of them 10 smalls gets you 5liters
10 mediums get you 10 liters 10 larges get you 15 liters