Given the following sample data: x 420 610 625 500 400 450 550 650 480 565 y 2.80 3.60 3.75 3.00 2.50 2.70 3.50 3.90 2.95 3.30 1. Calculate the covariance and the correlation coefficient. Discuss what they represent and why they are used in statistics, especially the business world. 2. Briefly discuss the relationship between x and y and what do these statistics tell you.

Given the following sample data: x 420 610 625 500 400 450 550 650 480 565 y 2.80 3.60 3.75 3.00 2.50 2.70 3.50 3.90 2.95 3.30 1. Calculate the covariance and the correlation coefficient. Discuss what they represent and why they are used in statistics, especially the business world. 2. Briefly discuss the relationship between x and y and what do these statistics tell you.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

The following show the respective ages in years and the corresponding weighs in lbs of 8 women. What is the coefficient of Correlation? Age (x) Weight (y) 42 120 38 135 45 140 27 115 16 98 25 123 37 130 38 132 Select one: a. 0.847 b. 0.478 c. .748 d. .447
Statistics Question
In order to advise students properly, a college advisor is interested in the relationship between a student's GPA and the number of hours the student an average weck. The data are shown in the table. Study Time (in hours) 33 Student GPA 3.2 19 16 2.4 31 3.1 5. 24 2.7 28 2.9 7 1.7 34 3.3 14 2.2 10 35 3.4 11 1.8 Part 1 of 5 (a) Let I represent study time and let y nepresent GPA. Graph the points. Grade Point Average vs. Weekly Study Time Weckly Study Time (hours) Part 2 of 5 (b) Does there appear to be a linear trend? Yes Part: 2/5 Part 3 of 5 (c) use the data points (16, 2.4) and (34, 3 3) to find an eguation of the line through these points. Express numbers as decimas or integers. Write answer in slope-intercept form (y = MI+ b). The equation is GPA
Calculate 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 32
Match each correlation value with its interpretation A. large (strong) negative relationship B. small (weak) positive relationship C. large (strong) positive relationship select 1.r -0.8 select 2.r 0.1 select 3. r = 0.7 7,821 MAR 20 F3 F2 D00 F4 F5 F6 F7 $ % & 4 6 LA 00 %#3
Which of the following best describes the Pearson correlation for these data? X Y 2 5 5 1 3 4 4 2
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
Fully explain the issues and problems with the below correlational data. Focus on the data in the highlighted box versus the rest of the data. Do not try to explain the data, but rather focus on the statistical issues and problems. IF YOU CAN'T SEE THE IMAGE HERE. PLEASE GO TO THIS LINK Linke 10 6. 8. 7. 5. 4. 10 20 30 40 50 60 70 80 90 100 Age Enjoyment of Hip-Hop
Please answer all questions A biologist looked at the relationship between number of seeds a plant produces and the percent of those seeds that sprout. The results of the survey are shown below. Seeds Produced 60 57 40 44 45 58 54 48 Sprout Percent 54 53.2 65 59.4 66 49.8 51.4 64.8 Find the correlation coefficient: r=r= Round to 2 decimal places. The null and alternative hypotheses for correlation are:H0:H0: == 0H1:H1: ≠≠ 0 The p-value is: (Round to four decimal places) Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically significant evidence to conclude that there is a correlation between the number of seeds that a plant produces and the percent of the seeds that sprout. Thus, the regression line is useful. There is statistically insignificant evidence to conclude that there is a correlation between the number of seeds that a plant produces and the percent of…
choose the correct answer Given the following X and Y variables. Determine the Pearson-r correlation value. (photo) a. 0.412 b. - 0.785 c. 0.248 d. - 0.293 What is the range of the given data set: 25, 19, 30, 12, 45, 11, 32, 49, 23, 36, 34 ? a. 49 b. 26 c. 38 d. 44 Thank you!!!
Assumptions: Data are normally distributed. Your job, solved this problem: 1. Is there a significant RELATIONSHIP between X and Y? Explain! 2. calculate the correlation coefficient. 3. Is there a significant EFFECT between X and Y? Explain!
Answer