Which of the following Pearson correlations shows the greatest strength or consistency of relationship?.74:90.85-33

Higher the value of correlation coefficient greater the consistency of relationship. So here highest…

Answered: Which of the following Pearson…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Interpret the following output from a survey asking employees to indicate how many accidents they experienced at work (reported accidents), whether their supervisors enforce safety regulations (enforce), and how much their organization emphasized safety (safclim). Select all that apply. Correlations # Reported Accidents Pearson Correlation Sig. (2-tailed) N enforce Pearson Correlation Sig. (2-tailed) N safclim # Reported Accidents Pearson Correlation Sig. (2-tailed) N **. Correlation is significant at the 0.01 level (2-tailed). 1.000 123.000 .033 .716 121 -.064 .487 122 enforce .033 .716 121 1.000 safclim -.064 .487 122 .528** .000 126 1.000 126.000 .528** .000 126 127.000 This shows that there is a significant correlation between accidents at work and how much the organization emphasizes safety This shows that there is a positive correlation between the amount of supervisors enforce safety regulations and how much the organization emphasized safety There is a large effect size for…
The degrees of freedom of correlation test is determined by what?
ps-5
An exercise scientist wants to know if there is a relationship between explosive leg power and standing jump height. To determine if a relationship exists, a group of 30 participants' (N = 30) Leg power was measured by recording each participants' single squat weight max (in pounds). Next, each participant was asked to perform a standing jump and their Jump height was recorded (in meters). Using the variables “Leg power” and “Jump height”, conduct a Pearson's Correlation, at α = 0.05, to determine if leg power and jump height are correlated. Identify the correct null hypothesis A. H0: There is no relationship between leg power and jump height B. H0: There is a relationship between leg power and jump height C. HA: There is a relationship between leg power and jump height D. HA: There is no relationship between leg power and jump height
Are there ever any circumstances when a correlation such as Pearson’s r can be interpreted as evidence for a casual connection between two variables? If yes, what circumstances?
2. Which of the following values cannot be a correlation coefficient? Group of answer choices -.274 1.473 -.650 .615
2. (MMC 6.43). The Survey of Study Habits and Attitudes (SSHA) is a psychological test that measures the motivation, attitude toward school, and study habits of students. Each score ranges from 0 to 200. The mean attitude score for U.S. college students is about 110, and the standard deviation is about 25. A teacher who suspects that older students have better attitudes toward school gives the SSHA to 25 students who are at least 30 years of age. Their mean score is = 118.3. a. Assuming that o = 25 for the population of older students, carry out a test of Họ: H = Ha:u > 110 Report the P-value of your test and state your conclusion clearly. = 110 b. What are the required assumptions in part (a)?
2.) The table shown below are the raw scores obtained by eight (8) students. Is there a relationship in their scores in Mathematics and in Biology? Use Pearson Product-Moment Coefficient of Correlation to establish the relationship. Student 1 3 4 6. 8. Mathematics (x) 6. 3. 4 3 Biology (y) 8. 3. 7 4
Which ONE of the following statements regarding 0.581 on the summary output is correct? Group of answer choices 0.581 is the correlation for TIP and PREDICTED-SALES AMOUNT. -0.581 (negative 0.581) is the correlation for SALES AMOUNT and TIP. -0.581 (negative 0.581) is the correlation for TIP and PREDICTED-TIP. 0.581 is the correlation for TIP and PREDICTED-TIP. -0.581 (negative 0.581) is the correlation for SALES AMOUNT and PREDICTED-TIP. 0.581 is the correlation for SALES AMOUNT and PREDICTED-SALES AMOUNT.
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support Correlation Results the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that Correlation coeff, r: 0.959614 a measured chest size can be used to predict the weight? Use a significance level of = 0.05. Critical r: +0.2680855 P-value (two tailed): 0.000 Но: Р H1:P (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) O A. There is one critical value at r= . B. There are two critical values at r= ± Is there sufficient evidence to support the claim that there is a linear correlation between…
Each given statement contains a blunder. In cach case, choose the statement that correctly explains the blunder. "There is a high correlation betwoen the "We found a high correlation (= 109) "The correlation between height and sex of American workers and their between students' ratings of faculty teaching and ratings made by other faculty members." weight of the subjects was 0.63 income." centimeters."
Which of the following represents the strongest correlation? O.10 00 O.55 O-.24

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Which of the following Pearson correlations shows the greatest strength or consistency of relationship? .74 :90 .85 -33