[CORRELATION ANALYSISDetermine the relationship between the number of hours students spent per week on studying the lessons on themodules on Statistics and Probability and their obtained grades for the grading period. A random sample of 10 studentsis selected. The data obtained are shown in the table. Calculate the Pearson's sample correlation coefficient andinterpret the result.Number ofhours studyingGrade (y)x²y²Studentxyper week (x)49628338147954883873901778582Exy=Computation:Interpretation:68910Σχ=22Σy=Ex²=Ey²=

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Answered: CORRELATION ANALYSIS Determine the…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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An electronics retailer would like to investigate the relationship between the selling price of a certain digital camera model and the demand for it. The accompanying table shows the weekly demand for the camera in one particular market along with the corresponding price. Determine the sample correlation coefficient between the selling price and the demand for this camera. Click the icon to view the demand and price data. r = (Round to three decimal places as needed.) Demand and Price Demand Price 18 320 19 330 15 340 15 350 12 360 12 370 8 380 Print Done
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Statistics Question
A scatterplot of two variables is a picture of the relationship represented in a correlation. Group of answer choices True False
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Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. Suppose a random sample of employees gave the following information. X 12 8 14 32 73 y 50 45 35 28 16 Would you say the correlation is low, moderate, or strong? Positive or negative? If necessary, draw a scatter diagram of the given data. O strong and negative O moderate and positive strong and positive O low and negative
Activity 1. Find Your Center Direction: Given the raw data below, find the median of the following. 1. 6, 4, 3, 3, 4, 6, 4, 6, 5, 2 2. 15, 13, 15, 14, 16, 13, 13, 14, 12, 15, 10 3 25, 22, 28, 23, 21, 27, 25, 24, 20 4. 6.5, 5.6, 4.8, 5.2, 6.0, 5.5, 6.4, 6.2 5. 8, 5, 9, 10, 15, 9, 8, 7, 15, 5, 15, 14, 8, 8, 7 6. 0.22, 0.15, 0.28, 1.12, 1.04, 0.87, 2.08, 1.21, 2.02, 0.78 7. The first ten odd integers 8. The first fifteen even integers 9. The first seven prime numbers 10. Multiples of 4 from 16 to 52 Activity 2 Why Position Matters? Direction: Using the information given, solve for the following. 1. The following are the monthly salaries of 16 employees in peso: 18000, 19000, 18000, 17000, 17000, 19000, 20000, 23000, 16000, 22000, 24000, 22000, 20000, 19000, 19000, 20000 a. What is the lowest salary being received by an employee? highest salary? b. What is the range of the given data? How about the median? 2. The heights (in cm) of 11 players of a team are as follows: 160, 158, 158, 159,…
Assume that you have paired values consisting of heights (in inches) and weights (in lb) from 40 randomly selected men. The linear correlation coefficient r is 0.567. Find the value of the coefficient of determination. What practical information does the coefficient of determination provide? Question content area bottom Part 1 Choose the correct answer below. A. The coefficient of determination is 0.321. 32.1% of the variation is explained by the linear correlation, and 67.9% is explained by other factors. B. The coefficient of determination is 0.679. 67.9% of the variation is explained by the linear correlation, and 32.1% is explained by other factors. C. The coefficient of determination is 0.321. 67.9% of the variation is explained by the linear correlation, and 32.1% is explained by other factors. D. The coefficient of determination is 0.679. 32.1% of the variation is explained by the linear correlation, and 67.9% is…
The data below are the final scores of 10 randomly selected statistics students and the number of hours they studied for the final. What is the best-predicted value for y given x = 6? Assume that the variables x and y have a significant correlation. hours x: 3,5,2,8,2,4,4,5,6,3 scores y: 65,80,60,88,66,78,85,90,90,71 A.84 B.86 C.85 D.87
Attention: These data are different from your previous questions! Now Lynn takes a different approach. They collect another two samples - GPA from students taking a semester of in-class courses, and then the same students' GPA when they are taking a semester of online courses. The data set is below. They predict that they will find a difference between in-class GPA and online GPA for the same students. Differences Between GPA's Student In Class GPA Online GPA Amy 4.0 3.5 Brad 3.5 2.2 Caroline 3.7 2.0 Dan 3.5 3.5 Emily 3.6 3.3 Frank 3.2 3.2 George 3.3 2.1 What is the t-statistic for this t-test? (Round to 2 decimal places.)
Answer
Find the correlation coefficient for the data set below. x 3, 5, 6, 7, 9 y 5, 1, 9, 7, 13

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