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4. Consider the following data reflecting lengths of stay in the hospital (recorded in days) and the total charge (in R1000) for six patients undergoing a minor surgical procedure: Length of Stay 9. 10 12 15 Total charge 6. 7.2 8. 9.4 7.9 Consider length of stay as the independent and total charge as the dependent variable. (a) Describe the relationship between length of stay and total charge using a scatter diagram. (b) Compute the sample correlation coefficient. (2 decimals) (c) Compute the regression equation. (3 decimals) (d) Estimate the total charge for an individual who stays 11 days in the hospital. (3 decimals) (e) Suppose we compare two patients and one stays 3 days longer in the hospital than the other. What is the expected difference in total charges between these patients? Sunnose the sample correlation coefficient is r = 0 88 Is there evidence of a significant

4. Consider the following data reflecting lengths of stay in the hospital (recorded in days) and the total charge (in R1000) for six patients undergoing a minor surgical procedure: Length of Stay 9. 10 12 15 Total charge 6. 7.2 8. 9.4 7.9 Consider length of stay as the independent and total charge as the dependent variable. (a) Describe the relationship between length of stay and total charge using a scatter diagram. (b) Compute the sample correlation coefficient. (2 decimals) (c) Compute the regression equation. (3 decimals) (d) Estimate the total charge for an individual who stays 11 days in the hospital. (3 decimals) (e) Suppose we compare two patients and one stays 3 days longer in the hospital than the other. What is the expected difference in total charges between these patients? Sunnose the sample correlation coefficient is r = 0 88 Is there evidence of a significant

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 11PPS
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4. Consider the following data reflecting lengths of stay in the hospital (recorded in days) and the total charge (in R1000) for six patients undergoing a minor surgical procedure: Length of Stay 7 10 12 15 Total charge 7.2 9.4 7.9 Consider length of stay as the independent and total charge as the dependent variable. (a) Describe the relationship between length of stay and total charge using a scatter diagram. (b) Compute the sample correlation coefficient. (2 decimals) (c) Compute the regression equation. (3 decimals) (d) Estimate the total charge for an individual who stays 11 days in the hospital. (3 decimals) (e) Suppose we compare two patients and one stays 3 days longer in the hospital than the other. What is the expected difference in total charges between these patients? Suppose the sample correlation coefficient is r = 0.88. Is there evidence of a significant correlation between the length of stay and the total charge? Run the appropriate test at a = 0.05.
Transcribed Image Text:4. Consider the following data reflecting lengths of stay in the hospital (recorded in days) and the total charge (in R1000) for six patients undergoing a minor surgical procedure: Length of Stay 7 10 12 15 Total charge 7.2 9.4 7.9 Consider length of stay as the independent and total charge as the dependent variable. (a) Describe the relationship between length of stay and total charge using a scatter diagram. (b) Compute the sample correlation coefficient. (2 decimals) (c) Compute the regression equation. (3 decimals) (d) Estimate the total charge for an individual who stays 11 days in the hospital. (3 decimals) (e) Suppose we compare two patients and one stays 3 days longer in the hospital than the other. What is the expected difference in total charges between these patients? Suppose the sample correlation coefficient is r = 0.88. Is there evidence of a significant correlation between the length of stay and the total charge? Run the appropriate test at a = 0.05.
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