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.
If you want to learn more about data sets:
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Answer:
4 yd².
Step-by-step explanation:
From the question given above, the following data were obtained:
Length (L) = 2⅔ yards
Width (W) = 1½ yards
Area (A) =.?
The area of the piece of fabric that Roberto needs can be obtained by using the formula for calculating the area of a rectangle. This is illustrated below:
Area (A) = Length (L) × Width (W)
A = 2⅔ × 1½
A = 8/3 × 3/2
A = 8 × ½
A = 4 yd²
Thus, the area of the piece of fabric that Roberto needs is 4 yd²
Answer:
The 95% confidence interval estimate of the population proportion of managers who have caught salespeople cheating on an expense report is (0.5116, 0.6484).
Step-by-step explanation:
In a sample with a number n of people surveyed with a probability of a success of 
, and a confidence level of 
, we have the following confidence interval of proportions.
In which
z is the zscore that has a pvalue of 
.
In the survey on 200 managers, 58% of the managers have caught salespeople cheating on an expense report.
This means that 
95% confidence level
So 
, z is the value of Z that has a pvalue of 
, so 
.
The lower limit of this interval is:
The upper limit of this interval is:
The 95% confidence interval estimate of the population proportion of managers who have caught salespeople cheating on an expense report is (0.5116, 0.6484).
Y=15
cause a and c is 40 across you minus 10 soon become 30 then you just divide by 2 and get 15
Answer:
Morgan.
Step-by-step explanation:
The applicant who has the highest z-score would be the one who performs best.
z-score = (s - m)/ d where s = score, m = mean and d = the standard deviation.
Morgan's z-score = (81.7 - 60.9) / 13
= 1.6
Frankie's = (314.8 - 294) / 26
= 0.8.
Rebecca's = (7.5 - 7.2) / 0.6
= 0.5.
