The only true statement is A:
"The data show a negative linear relationship."
<h3>
</h3><h3>
Which statement is true?</h3>
On the graph, we can see how the car's vale decreases almost linearly with the age of the car.
Where the response variable would be the one on the y-axis, which is the car's value.
For that linear behavior, we know that there is a correlation coefficient different than zero. So options B, C, and D are false.
Finally, we already saw the linear behavior (decreasing, so the slope is negative). Then we conclude that the only true statement is A.
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OOH USE YOUR BRAiN AND THINK :D
Answer:
5x+8
Step-by-step explanation:
In the picture.
I hope that it's a clear solution.
The sample proportion of returns with errors at the two tax offices will be 0.1389 and 0.0927 respectively.
<h3>How to calculate the sample proportion?</h3>
From the information, the the observed frequencies showing the number of sampled returns with errors and the number of sampled returns were given.
The sample proportion will be:
P1 = 35/(35 + 217)
= 35/252
= 0.1389
P2 = 28/(28 + 274)
= 28/302
= 0.0927
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