Compute the linear correlation coefficient between the height and head circumference of a A pediatrician wants to determine the relation that may exist between a child's height and head circumference. She randomly selects 8 children, measures their height and head circumference, and obtains the data shown in the table. The pediatrician wants to use height to predict head circumference. child. (Round to three decimal places as needed.) Head Circumference Height (inches) (inches) 27.5 25 26 25.25 27.25 26.75 25.75 27.25 17.3 17.1 17.2 17 17.6 17.4 17.2 17.3

which dot plot  represents these data?

Education The following ordered pairs give the entrance exam scores x and the grade-point averages y after 1 year of college for 10 students. (75, 2.3), (82, 3.0), (90, 3.6), (65, 2.0), (70, 2.1), (88,3.5), (93, 3.9), (69,2.0), (80, 2.8), (85, 3.3) (a))Create a scatter plot of the data. Does the relationship between x and y appear to be approximately linear? Explain.

The data represents the heights of eruptions by a geyser. Use the heights to construct a stemplot. Identify the two values that are closest to the middle when the data are sorted in order from lowest to highest. Height of eruption (in.) 69 33 50 900 80 50 40 70 50 68 79 54 Which plot represents a stemplot of the data? OA. 3 002 4049 5008 6005 7006 8009 906 B. 33 400 500024 605689 70009 806 90 Identify the two values that are closest to the middle when the data are sorted in order from lowest to highest. The values closest to the middle are inches and (Type whole numbers. Use ascending order.) inches. O C. 33 4045689 50009 6006 70002 80 90 52 66 65 60 70 70 40 86

Use a scatter plot to display the data shown in the table below. The data represents the number of students per teacher and the average teacher salaries​ (in thousands of​ dollars) in 10 school districts.   Number of Students per Teacher Average​ Teacher's Salary   17.2 28.6   17.8 46.6   18.2 32.1   17.4 27.6   18.4 39.8   17.6 32.8   15.0 49.5   17.5 38.4   13.7 42.1   18.0 32.4         1.Construct a scatter diagram.           2.Describe the relation between students per teacher and average teacher salary.     A. As the amount of students per teacher​ increases, the average teacher salary also increases.   B. As the amount of students per teacher​ decreases, the average teacher salary increases.   C. There appears to be no relation between students per teacher and average teacher salary.

d-Whisker Plots HOTSPOT LABEL Find the range and interquartile range (IQR) for the monthly rainfall (in millime- ters) in Seattle based on the box-and-whisker plot below. Average Monthly Rainfall in Seattle (millimeters) in | bartleby - G... 20 80 140 +++ 200 . Press each hotspot. Label the corresponding number below with the requested value. All Charges П

Waiting times (in minutes) of customers at a bank where all customers enter a single waiting line and a bank where customers wait in individual lines at three different teller windows are listed below. Find the coefficient of variation for each of the two sets of data, then compare the variation. is cou Bank A (single line): 6.5 6.6 Bank B (individual lines): 6.7 6.8 7.1 7.3 7.5 7.6 7.6 7.6 0 rms o 4.3 5.4 5.9 6.1 6.7 7.6 7,7 8.5 9.4 9.8 %. The coefficient of variation for the waiting times at Bank A is (Round to one decimal place as needed.)

Use a stem-and-leaf plot to display the data, which represent the numbers of hours 24 nurses work per week. Describe any patterns. 40 40 44 48 35 40 36 58 32 36 40 35 D 30 28 36 40 36 40 33 40 32 38 29 Determine the leaves in the stem-and-leaf plot below. Key: 3|3 = 33 Hours worked 2 4 What best describes the data? O A. Most nurses work under 40 hours per week. O B. Most nurses work over 40 hours per week. O C. Most nurses work between 40 and 50 hours per week, inclusive. O D. Most nurses work between 30 and 40 hours per week, inclusive. 40 3.

Waiting times (in minutes) of customers at a bank where all customers enter a single waiting line and a bank where customers wait in individual lines at three different teller windows are listed below. Find the coefficient of variation for each of the two sets of data, then compare the variation. Bank A (single line): 6.6 6.7 6.7 6.8 7.0 7.2 7.5 7.7 7.7 7.7 6.7 7.7 7.8 8.4 9.2 9.7 Bank B (individual 4.1 5.4 5.8 6.2 lines): www The coefficient of variation for the waiting times at Bank A is%. (Round to one decimal place as needed.)

Draw a scatter diagram and find r for the data shown in the table. (Round r to three decimal places.)  x        y    10   15 20   42 30   60 30   54 50   70 60   85   find r