Find the correlation for the data set below. Age Salary 23 45,000 25 48,000 24 54,000 29 57,000
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Find the correlation for the data set below.
Age Salary
23 45,000
25 48,000
24 54,000
29 57,000
Step by step
Solved in 3 steps with 1 images
- Find the correlation coefficient for the data below which represents the salary of eight people based on their service age in a company: Service Age 2 11 20 25 13 16 (year) Salary ($) 350 900 1300 2400 3000 840 1500 1780Determine the correlation coefficient for the data shown in this table: x 1 8 8 15 14 20 y 42 38 30 20 18 11Calculate the co-efficient of rank correlation from the following data. Price of Coffee Price of Tea 45 25 42 28 45 35 47 27 48 30 43 32 45 35 50 30 48 28 42 39
- The heights and weights of a set of students were recorded on a scatter graph. Describe the correlation depicted below: Select- strong, moderate, weak and Select- positive, negativeCalculate the coefficient of correlation for the ages of húsband and wife : Age of husband Age of wife 23 27 28 29 30 31 33 35 36 39 : 18 22 23 24 25 26 28 29 30 32The following data gives the number of hours 10 students spent studying and their corresponding grades on their midterm exams, Hours spent studying 0.5 1 1.5 2 2.5 4 4.5 5 5.5 6 Midterm Grades 63 69 75 78 81 84 90 93 96 99 Draw a scatter plot of the given data. Select a location in the chart to plot a point. Points can be moved by dragging or using the arrow keys. Estimate the correlation in words: positive, neagative, no correlation Calculate the correlation coefficient, r. Round your answer to three decimal places. Hours unspervised 0 1 2 4 5 Overall Grades 100 92 88 84 72 Calculate the correlation coefficient, r. Round your answer to three decimal places. Determine whether the given correlation coefficient is staatically significant at the specified level of significance and sample size. r=0.452 ,a=0.005, n=28
- 4. Find out Spearman's Rank correlation for the following data and write your comment. Profits 65 54 46 54 38 85 46 68 95 of X Profits 55 35 40 55 65 75 40 55 65 of Y 70 70The ages (in years) and heights (in inches) of all pitchers for a baseball team are listed. Find the coefficient of variation for each of the two data sets. Then compare the results. heights Ages 73 28 76 22 74 23 72 24 77 24 78 27 76 31 79 28 73 27 78 35 74 33 79 36The figure below shows the relationship between tree height and tree age for a given tree species. What is the approximate correlation between the two variables; 0.99, 0, -0.98, or 1?
- The accompanying table lists the ages of acting award winners matched by the years in which the awards were won. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Should we expect that there would be a correlation? Use a significance level of a = 0.01. Click the icon to view the ages of the award winners. Construct a scatterplot. Choose the correct graph below. OA 70- 20- 20 70 Best Actress (years) B. 70- 20- 20 70 Best Actress (years) The linear correlation coefficient is r = (Round to three decimal places as needed.) 70- 20- 20 70 Best Actress (years) Q G D. 70- 20- 20 70 Best Actress (years)The ages (in years) and heights (in inches) of all pitchers for a baseball team are listed. Find the coefficient of variation for each of the two data sets. Then compare the results. Heights Ages 74 28 73 26 80 25 71 24 75 29 74 26 74 27 75 30 72 29 73 37 70 36 78 34Find the 25th, 50th, and 75th percentile from the following list of 32 data 4 6 9 16| 19 22 23 25 30 31 38 39 48 56 42 46 47 57 63 68 75 80 87| 88 94 95 73 74 85 86 98 99 25th percentile = 50th %3D percentile = 52 v 75th percentile =