Answer:
Step-by-step explanation:
<u><em>(1). 2 m / s²</em></u>
<u><em>(2). 0 m / s²</em></u> { Change from the previous section is - 2 m / s² }
<u><em>(3). - 8 m / s²</em></u> { Change from the previous section is - 8 m / s² }
<u><em>(4). - 1 m / s²</em></u> { Change from the previous section is + 7 m / s² }
<u><em>(5). 0 m / s²</em></u> { Change from the previous section is + 1 m / s² }
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.