e. Add a new point to the data, a 30-pound turkey that is free. Give the new value for r and the new regression equation. Explain what the negative correlation implies. What happened? State the new value for r. (Round to three decimal places as needed.) r= Determine the new regression equation. Predicted Cost = (Round to two decimal places as needed.) What does the negative correlation imply? Weight OA. A negative correlation suggests that larger turkeys have the same cost as smaller turkeys. O B. A negative correlation suggests that larger turkeys tend to have a higher cost. OC. A negative correlation suggests that there is no association between the size of a turkey and its cost. OD. A negative correlation suggests that larger turkeys tend to have lower cost. What happened when the new data point was added? O A. The results with the new point are the same as the results without the new data point. The 30-pound free turkey was not an outlier, and did not affect the results. OB. While the 30-pound free turkey was an outlier, the results with the new point are the same as the results without the new data point. O C. The 30-pound free turkey was an influential point, which significantly changed the results. O D. The results with the new point are similar to the results without the new data point. The 30-pound free turkey slightly affected the results.
e. Add a new point to the data, a 30-pound turkey that is free. Give the new value for r and the new regression equation. Explain what the negative correlation implies. What happened? State the new value for r. (Round to three decimal places as needed.) r= Determine the new regression equation. Predicted Cost = (Round to two decimal places as needed.) What does the negative correlation imply? Weight OA. A negative correlation suggests that larger turkeys have the same cost as smaller turkeys. O B. A negative correlation suggests that larger turkeys tend to have a higher cost. OC. A negative correlation suggests that there is no association between the size of a turkey and its cost. OD. A negative correlation suggests that larger turkeys tend to have lower cost. What happened when the new data point was added? O A. The results with the new point are the same as the results without the new data point. The 30-pound free turkey was not an outlier, and did not affect the results. OB. While the 30-pound free turkey was an outlier, the results with the new point are the same as the results without the new data point. O C. The 30-pound free turkey was an influential point, which significantly changed the results. O D. The results with the new point are similar to the results without the new data point. The 30-pound free turkey slightly affected the results.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Hello I need help in awswering all the parts for problem e thank you.
![e. Add a new point to the data, a 30-pound turkey that is free. Give the new value for r and the new regression equation. Explain what the negative correlation implies. What happened?
State the new value for r.
(Round to three decimal places as needed.)
r=
Determine the new regression equation.
Predicted Cost =
(Round to two decimal places as needed.)
What does the negative correlation imply?
+
Weight
A. A negative correlation suggests that larger turkeys have the same cost as smaller turkeys.
B. A negative correlation suggests that larger turkeys tend to have a higher cost.
C. A negative correlation suggests that there is no association between the size of a turkey and its cost.
OD. A negative correlation suggests that larger turkeys tend to have a lower cost.
What happened when the new data point was added?
A. The results with the new point are the same as the results without the new data point. The 30-pound free turkey was not an outlier, and did not affect the results.
B. While the 30-pound free turkey was an outlier, the results with the new point are the same as the results without the new data point.
C. The 30-pound free turkey was an influential point, which significantly changed the results.
D. The results with the new point are similar to the results without the new data point. The 30-pound free turkey slightly affected the results.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff58a251e-cc4c-4c83-af50-b83897bc9eee%2Fbef42c8f-0f78-4199-9453-486aa1fb41c7%2Fq7fy32zp_processed.png&w=3840&q=75)
Transcribed Image Text:e. Add a new point to the data, a 30-pound turkey that is free. Give the new value for r and the new regression equation. Explain what the negative correlation implies. What happened?
State the new value for r.
(Round to three decimal places as needed.)
r=
Determine the new regression equation.
Predicted Cost =
(Round to two decimal places as needed.)
What does the negative correlation imply?
+
Weight
A. A negative correlation suggests that larger turkeys have the same cost as smaller turkeys.
B. A negative correlation suggests that larger turkeys tend to have a higher cost.
C. A negative correlation suggests that there is no association between the size of a turkey and its cost.
OD. A negative correlation suggests that larger turkeys tend to have a lower cost.
What happened when the new data point was added?
A. The results with the new point are the same as the results without the new data point. The 30-pound free turkey was not an outlier, and did not affect the results.
B. While the 30-pound free turkey was an outlier, the results with the new point are the same as the results without the new data point.
C. The 30-pound free turkey was an influential point, which significantly changed the results.
D. The results with the new point are similar to the results without the new data point. The 30-pound free turkey slightly affected the results.
![7. The accompanying table shows a list of the weights and costs of some turkeys at different supermarkets. Complete parts (a) through (f) below.
a Make a scatterplot with weight on the x-axis and cost on the v-axis Include the regression line on the scatterplot
Weight (pounds)
12.3
18.8
20.4
16.5
15.8
10.7
Cost
$17.08
$23.84
$26.82
$19.85
$23.29
$9.14
U](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff58a251e-cc4c-4c83-af50-b83897bc9eee%2Fbef42c8f-0f78-4199-9453-486aa1fb41c7%2Fs9sc47l_processed.png&w=3840&q=75)
Transcribed Image Text:7. The accompanying table shows a list of the weights and costs of some turkeys at different supermarkets. Complete parts (a) through (f) below.
a Make a scatterplot with weight on the x-axis and cost on the v-axis Include the regression line on the scatterplot
Weight (pounds)
12.3
18.8
20.4
16.5
15.8
10.7
Cost
$17.08
$23.84
$26.82
$19.85
$23.29
$9.14
U
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