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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
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. \( r = \underline{\hspace{50px}} \) (Round to three decimal places as needed.) Determine the new regression equation. Predicted Cost = \(\underline{\hspace{50px}}\) + (\(\underline{\hspace{50px}}\)) Weight (Round to two decimal places as needed.) What does the negative correlation imply? - **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. - **D.** 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.
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. \( r = \underline{\hspace{50px}} \) (Round to three decimal places as needed.) Determine the new regression equation. Predicted Cost = \(\underline{\hspace{50px}}\) + (\(\underline{\hspace{50px}}\)) Weight (Round to two decimal places as needed.) What does the negative correlation imply? - **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. - **D.** 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.
**Text for Educational Website:** **Problem 7: Analysis of Turkey Weights and Costs** The accompanying table presents data on the weights and costs of turkeys at various supermarkets. Use the data to complete parts (a) through (f). | **Weight (pounds)** | **Cost ($)** | |---------------------|--------------| | 12.3 | 17.08 | | 18.8 | 23.84 | | 20.4 | 26.82 | | 16.5 | 19.85 | | 15.8 | 23.29 | | 10.7 | 9.14 | **Task:** a. Create a scatterplot with weight on the x-axis and cost on the y-axis. Include the regression line on the scatterplot. **Graph/Diagram Explanation:** - **Scatterplot:** Plot each pair of weight and cost as a point in a two-dimensional space, with weight values along the horizontal axis and cost values along the vertical axis. Each point represents one of the six turkeys. - **Regression Line:** After plotting the points, draw a straight line that best fits the data. This line shows the general trend, capturing the relationship between weight and cost.
Transcribed Image Text:**Text for Educational Website:** **Problem 7: Analysis of Turkey Weights and Costs** The accompanying table presents data on the weights and costs of turkeys at various supermarkets. Use the data to complete parts (a) through (f). | **Weight (pounds)** | **Cost ($)** | |---------------------|--------------| | 12.3 | 17.08 | | 18.8 | 23.84 | | 20.4 | 26.82 | | 16.5 | 19.85 | | 15.8 | 23.29 | | 10.7 | 9.14 | **Task:** a. Create a scatterplot with weight on the x-axis and cost on the y-axis. Include the regression line on the scatterplot. **Graph/Diagram Explanation:** - **Scatterplot:** Plot each pair of weight and cost as a point in a two-dimensional space, with weight values along the horizontal axis and cost values along the vertical axis. Each point represents one of the six turkeys. - **Regression Line:** After plotting the points, draw a straight line that best fits the data. This line shows the general trend, capturing the relationship between weight and cost.
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