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A manager gave a test to 10 job applicants for the position of a typist. The following are their speeds in typing and the number

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A manager gave a test to 10 job applicants for the position of a typist. The following are their speeds in typing and the number of errors they committed Speed Number of Errors Typist (Words per Minute) 60 N A 45 3 B 100 4 C 70 1 D 55 5 E F 60 6 80 O H 85 90 C -1 75 c. The following table shows the ages of 9 employees in a company and their corresponding efficiency rating. Employee Age Efficiency Rating 1 44 61 44 41 N 3 45 91 4 43 76 5 40 79 6 52 67 43 73 47 94 54 96 2. Indicate the expected direction of correlation between the following pairs of variables by writing P for positive, N for negative, and O for zero correlation. a. income and expenditures b. physics and mathematics scores c. scholastic success and income d. height and weight of a person e. extent of fatigue and performance in speed test f. shoe size and IQ scoresindicates the e of correlan Exercise 8.1 1. In each of the following problems, draw a scatter diagram for the given data and identify the correlation, if any, that exists between the pairs of variables. Describe the correlation in terms of its direction and magnitude. a. Random samples of 10 students in Algebra were asked regarding the number of hours they spent in studying and the grades they received. Student Number of Hours Grade Received Spent in Studying A 2 57 B 2 63 2 70 72 69 75 73 84 H 82 C - 89g. number of sick persons and the sales of the drug stores h. age and income i. savings and expenditures j. demand and supply 3. Classify the following statements as true or false: a. Whenever the points in a scatter diagram follow approximately a straight line falling to the right, there is a negative correlation between the two variables. b. If all points lie on one line, then there is a perfect correlation between the variables represented. c. The coefficient of correlation can be 1.98. d. A coefficient of correlation indicates both the direction and extent of relationship between two variables. e. When high scores in one variable are associated with low scores in the other variable, then there is a positive correlation

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