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 }
For this answer is will be b
Answer:sweet and sour is write answer
Step-by-step explanation:
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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:
36% Theoretical
Step-by-step explanation:
52 were 60 < x < 70
55 were x < 60
55 + 52 = 107
107/300 = 0.356666667
Rounding would get you 36%
Theoretically, there is a 36% chance of dying younger than 70.