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Use the given data to complete parts (a) and (b) below X yo 22 38 3.9 1.4 3 35 4.7 4.9 OC. (a) Draw

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Use the given data to complete parts (a) and (b) below X yo 22 38 3.9 1.4 3 35 4.7 4.9 OC. (a) Draw a scatter diagram of the data. Choose the correct answer below COA. Ay 6- 4- 2- OB. 4- 2- 41 2- 6 D. 6- 4- 2- 0- T Compute the linear correlation coefficient. The linear correlation coefficient for the four pieces of data is 0.090 (Round to three decimal places as needed.) (b) Draw a scatter diagram of the data with the additional data point (10 3,9 3) Choose the correct answer below. O A. 12- OB. 12- OC. 12- D. A Next Use the given data to complete parts (a) and (b) below. x y D 22 38 3.9 14 3 3.5 4.7 4.9 Compute the linear correlation coefficient. The linear correlation coefficient for the four pieces of data is 0.090 (Round to three decimal places as needed.) (b) Draw a scatter diagram of the data with the additional data point (10.3,9.3). Choose the correct answer below OA. AY 12- 8- 4- 0- 4 8 OB. 12 8- OD 2 OC. Ay 124+ 8- Q 8- 4 4- 4- 0- 2 A 8 12 LN -O 0 8 Compute the linear correlation coefficient with the additional data point The linear correlation coefficient for the five pieces of data is (Round to three decimal places as needed.) Use the given data to complete parts (a) and (b) below x yo 22 38 3.9 14 3 35 4.7 4.9 Compute the mear correlation commicient with the anal data point me near correlation coenicient for the liver pieces of data is (Round to three decimal places as needed) Comment on the effect the additional data point has on the linear correlation coefficient OA. The additional data point weakens the appearance of a linear association between the data points B. The additional data point does not affect the linear correlation coefficient OC. The additional data point strengthens the appearance of a linear association between the data points Explain why correlations should always be reported with scatter diagrams A. The scatter diagram can be used to distinguish between association and causation COB. The scatter diagram is needed to determine if the correlation is positive or negative OC. The scatter diagram is needed to see if the correlation coefficient is being affected by the presence of outliers

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