0.85 B. -0.92 2 that strongest correlation? AtHogwarts!School!of!Witchcraftand!Wizardry,!students!often!have!alotof!homework.The!table! 1) 0.9 2) 0.5 3) -0.3 4) -0.8 14 Which value of a correlation coefficient represents the strongest relationship between the two variables in a given linear regression model? The slope of the line is negative (small values of X correspond to large values of Y; large values of X correspond to small values of Y), so there is a negative co-relation (that is, a negative correlation) between X and Y. See my table below. This means that when one variable increases by one, the other variable also increases by the same amount. Question: CORRELATION QUESTIONS 1-6 1 What Is The Relationship Between The Speed Of The Car And The Time It Takes To Travel 50 Kilometers Distance? a. The first step in the calculation a correlation coefficient is to: determine the z score for each score on each variable 4. Which of the following correlation coefficients reflects the greatest linear relationship? See below I would say -0.68, but still -0.68 does not indicate a strong correlation. A)-1.0 B) 0 C) .90 D) -.68 A Set Of Test Scores Are Normally Distributed. The greater the absolute value of the Pearson product-moment correlation coefficient, the stronger the linear relationship. 0.30 c. 0.90 d. 0.92. community-public-health-research; 0 Answer. The strongest linear relationship is indicated by a correlation coefficient of -1 or 1. The weakest linear relationship is indicated by a correlation coefficient equal to 0. A positive correlation means that if one variable gets bigger, the other variable tends to get bigger. Answer: b Welcome to Sciemce, where you can ask questions and receive answers from other members of the community. 1) 0.89 2) 0.34 3) 1.04 4) 0.01 2 Which value of r represents data with a strong -0.61 C. -0.51 D. -0.41 - hmwhelper.com Subjects Which of the following regressions represents the strongest negative linear relationship between x and y? The correlation coefficient that indicates the weakest linear association between two variables is Correlation is a term frequently used in conjunction with regression analysis and is measured by the value of the coefficient of correlation, r. This indicates a strong, positive, linear relationship. Special Education and the Juvenile Justice System. Recent Posts. - the answers to answer-helper.com -0.61 C. -0.51 D. -0.41 a. A2.S.8: Correlation Coefficient: Interpret within the linear regression model the value of the correlation coefficient as a measure of the strength of the relationship 1 Which value of r represents data with a strong positive linear correlation between two variables? The relationship between two variables is called their correlation . A. There Is No Relationship C. Negative Linear Relationship D. Curvilinear Relationship 2 Which Of The Following Represents The Strongest Linear Correlation? Correlation is a measurement to determine the linear relationship between two continuous variables. Their Mean Is 100 And The Standard Deviation Is 120. As an example, let’s go through the Prism tutorial on correlation matrix which contains an automotive dataset with Cost in USD, MPG, Horsepower, and Weight in Pounds as the variables. Which of the following correlation coefficients represents the strongest linear relationship? Should be at least five years two Wariables 27, 2016 in by! A. Answer: 3 on a question 2points which of the following r-values represents the strongest correlation? 0 votes. Which of the following correlation coefficients represents the variables with the strongest degree of relationship? -0.71 B.  The strength of the relationship between two variables is a crucial piece of information. Juvenile Justice Bulletin 1) -0.94 2) 0 3) 0.5 4) 0.91 15 Which value of r represents data with a strong Correct answers: 1 question: Which if the following r-values represent the strongest correlation a. 1. –0.81 c. –0.61 d. –0.71 - ehomework-helper.com Keep in mind that any numbers that are between -0.5 and -0.7 show weak negative correlation only, same for positive. Correlation coefficients are indicators of the strength of the linear relationship between two different variables, x and y. Best answer. The scatter about the line is quite small, so there is a strong linear relationship. Which of the following correlations displays the strongest relationship? −≤ ≤11 r The number statistics used to describe linear relationships between two variables is called the correlation coefficient, r.. There appears to be a positive linear relationship between the two variables. correlation coefficient represents the strongest linear relationship? To interpret its value, see which of the following values your correlation r is closest to: Exactly –1. A paediatric registrar has measured the pulmonary anatomical dead space (in ml) and height (in cm) of 15 children. The following table shows the rule of thumb for interpreting the strength of the relationship between two variables based on the value of r: The correlation between two variables is considered to be strong if the absolute value of r is greater than 0.75. a. Pay attention to the correlation coefficient calculated at the top left of the simulation. So far we have visualized relationships between two quantitative variables using Which of the following correlation coefficient values indicate the strongest relationship between two variables? positive linear correlation 3. The weakest linear relationship is indicated by a correlation coefficient equal to 0. a) .34 b) –.45 c) –.28 d) .00. general-psychology; 0 Answer. Correct answers: 1 question: Which of the following r-values represents the strongest correlation? A correlation coefficient is an inappropriate numerical summary of this data. Correct answer to the question Which of the following r-values represents the strongest correlation? The greater the absolute value of a correlation coefficient, the stronger the linear relationship. The letter “r” is used to represent correlation coefficients. Instead of just looking at the correlation between one X and one Y, we can generate all pairwise correlations using Prism’s correlation matrix. … 0.65 b. Which of the following coefficients of correlation indicates the STRONGEST relationship between two sets of variables? a. r = 0.9453 Open Prism and select Multiple Variablesfrom the left side panel. A. third-variable problem. Which correlation coefficient represents the strongest linear relationship? What type of relationship is this? Which of the following correlation coefficients (r) represent the strongest relationship? The size of r indicates the strength of the correlation. Which of the following represents the strongest linear correlation? This video will show how to interpret the meaning of the correlation coefficient when a data set is described by a line of best fit. In all cases, . The r-value that represents the strongest correlation is -0.83. r-value that have the strongest correlation is the value that is nearer to 1 or -1.-0.83 is nearer to -1 than 0.79 is to 1.-0.67 is far from -1. which of the following indicates the strongest correlation? 3. c. −.72 . Positive Linear Relationship B. Solve algebraically for the following system of two linear … The strongest linear relationship is indicated by a correlation coefficient of -1 or 1. While correlation coefficients measure the strength of association between two variables, linear correlation indicates the strongest association between two variables. Visually, this represents any relationship between two variables that depicts a straight line when plotted out next to each other in a graph. The data are given in table 11.1 and the scatter diagram shown in figure 11.2 Each dot represents one child, and it is placed at the point corresponding to the measurement of the height (horizontal axis) and the dead space (vertical axis). Following represents the strongest linear correlation? A strong correlation means that as one variable increases or decreases, there is a better chance of the second variable increasing or decreasing. In a visualization with a strong correlation, the points cloud is at an angle. –0.51 b. Correlation Coefficient a number between −1 and +1 calculated so as to represent the linear dependence of two variables or sets of data represented by the 'r' variable. .25 b. The weakest linear relationship is indicated by … These Scores Are Converted To Standard Normal Z-scores. -.95. b. B. Bella recorded data and used her graphing calculator to find the equation for the line of best fit. -0.1 -0.9 +0.7 +0.4 - Answered by a verified Tutor. Question: Which Of The Following Correlation Values Represents The Strongest Linear Relationship Between Two Quantitative Variables? -0.92 2. Start studying EDUC 606 Final Exam. asked Feb 27, 2016 in Psychology by H2Oq1. -0.92 -0.45 0.88 0.16 -0.71 B. The other numbers given in the question indicate very weak correlation.  The strongest linear relationship occurs when the slope is 1. Which of the following best describes the correlation between the 12-minute run and VO2max? Correct answers: 2 question: Which of the following correlation coefficients represents the strongest linear relationship? She then used the correlation coefficient to determine the strength of the linear fit. This line is at a 45 degree angle. .98 c. .58 d. .93 e. 1.12. However, the definition of a “strong” correlation can vary from one field to the next. These are the steps in Prism: 1. 2. A perfect downhill (negative) linear relationship […] In statistics, the correlation coefficient r measures the strength and direction of a linear relationship between two variables on a scatterplot. A. A researcher obtained a correlation of +.45 between Variable A and Variable B. correlation coefficient A number between -1 and 1 that indicates the strength and direction of the linear relationship between two sets of numbers. Select One: A. If you don’t have access to Prism, download the free 30 day trial here. Now let’s create a simple linear regression model using forest area to predict IBI (response). -0.92 2 what textbook! A graph represents the relationship between psychological arousal (the x-axis) and performance (y-axis). –0.80 C. 1.25 D. –0.95 2. 0.55 c. 0.45 d. 0.75 The individuals perform better when they are moderately aroused than when arousal is either very low or very high. The correlation coefficient for these data is also very close to 0, being -.05. The value of r is always between +1 and –1. 2. The size of r indicates the strength of the correlation. answered Feb 27, 2016 by AlienX 1 flag . Best answer. In other words, forest area is a good predictor of IBI. To see how an outlier affects the correlation, do the following: Fill the scatterplot with a hypothetical positive linear relationship between X and Y (by clicking on the graph about a dozen times starting at the lower left and going up diagonally to the top right). The linear correlation coefficient is r = 0.735. Correct answer to the question Which of the following r-values represents the strongest correlation? The strongest linear relationship is indicated by a correlation coefficient of -1 or 1. Which of the alternatives best describes the pattern of scores on the scatter diagram below? We use cookies to give you the best possible experience on our website. Know the meaning of high, moderate, low, positive, and negative correlation, and be able to recognize each from a graphs or verbal description of data. .12 b. Choose … Which of the following represents the strongest correlation? (1) 0.79 (3) -0.12 (2) 0.36 (4) -0.87 O 0.79 O 0.36 O -0.12 O -0.87 Which of the following values of r represents the strongest correlation between two variables that exhibit a linear association? Which of the following Pearson correlation coefficients represents the strongest linear relationship between two variables?

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