which of the following represents the strongest linear correlation

which of the following represents the strongest linear correlation

There is a strong positive correlation between the two sets of scores . So so that is the accounts for number two. 2. A correlation coefficient of _____ indicates that the variables form a perfect linear relationship A) +1.00 B) 1.00 C) 0.00 D) both a and b: Definition. Keep in mind that any numbers that are between -0.5 and -0.7 show weak negative correlation only, same for positive. 0.45 C. 0.65 D. 0.75 - 9654246 The Researchers Found That People Could Remember More Words From The List With Object Names. The greater the absolute value of the Pearson product-moment correlation coefficient, the stronger the linear relationship. 1.03 -.02 -.89 .75 . See my table below. View Test Prep - Quiz 2 Answers from PSY 230 at Arizona State University. The correct answer is-.95. The Highest value of The correlation coefficient takes on values ranging between +1 and -1. Which of the following correlation values indicates the strongest linear relationship between two quantitative variables? Plot 2 shows a strong non-linear relationship. -The strongest linear relationship is indicated by a correlation coefficient of -1 or1.-The weakest linear relationship is indicated by a correlation coefficient equal to0. The weakest linear relationship is indicated by a correlation coefficient equal to 0. Expert Answer. KEY: A 24. In regression analysis, which of the following correlation coefficients represents the strongest relationship between the independent and dependent variables? Generally, correlation coefficients range between -1.00 to +1.00. Who are the experts? But that might lead to the linear correlation coefficient being zero or near zero. From those measurements, a trend line can be calculated. Pearson r: r is always a number between -1 and 1. While correlation coefficients measure the strength of association between two variables, linear correlation indicates the strongest association between two variables. a. exists between two standard deviations . A moderate downhill (negative) relationship. Notes. Regression 1 y = ax + 5 a= 17.1 b= -16.8 T= 0.822 Regression 2 y = az +5 a= -5.9 b= -7.2 T= -1.086 Reg - hmwhelper.com 0.30. Uploaded By tlbama21. r > 0 indicates a positive association. Plot 1 shows little linear relationship between x and y variables. The other numbers given in the question indicate very weak correlation. Which one of the following is not a significant reason for planning? Values can range from -1 to +1. Values can range from -1 to +1. -.85 Explanation: Correlation measures the linear relationship between two quantitative variables such that when one variable increases while the other increase, this is called positive correlation. A moderate downhill (negative) relationship. Pearson's correlation is a correlation coefficient commonly used in linear regression. CameraMath is an essential learning and problem-solving tool for students! In this regard, what number is a strong correlation? The value of r is always between +1 and 1. Examine these next two scatterplots. = the difference between the x-variable rank and the y-variable rank for each pair of data. Regression 1 y = ax + 5 a= 17.1 b= -16.8 T= 0.822 Regression 2 y = az +5 a= -5.9 b= -7.2 T= -1.086 Reg - hmwhelper.com The value of r is always between +1 and 1. -59 +.10 -1.00 +.76 2. In this regard, what number is a strong correlation? The value of correlation between any two variables ranges from -1 to +1. r < 0 indicates a negative association. I understand that the strength can vary from 0-1 and I thought I understood that positive or negative simply had to do with the direction of the correlation. Tags: Question 7 . -0.10 - B. Pearsons linear correlation coefficient only measures the strength and direction of a linear relationship. Pearsons correlation is a correlation coefficient commonly used in linear regression. Upvote (2) Downvote (0) Reply (0) Answer added by Ahmad Al Zoubi CMA CertIFR, Accounting Manager , Abdul Latif Jameel 1. Thanks for your help! Udemy Editor. the answer is #2 -0.11. We review their content and use your feedback to keep the quality high. test 3 spring - 1. This correlation coefficient is a single number that measures both the strength and direction of the linear relationship between two continuous variables. The correlation r measures the strength of the linear relationship between two quantitative variables. b. is powerful . i. On the other hand, if there is a very strong positive correlation then the value of correlation is close to 1 but less than 1. Which of the following r-values represents the strongest correlation? Which of the following values indicates the strongest correlation? Which of the following Pearson correlation coefficients represents the strongest linear relationship between two variables? D. explanatory variable. c. can be found in research designs including three or more groups . B. estimated intercept. a) -0.85 - This was my answer which I thought was the closest to one (meaning strongest. -.85 Explanation: Correlation measures the linear relationship between two quantitative variables such that when one variable increases while the other increase, this is called positive correlation. As all the values of r (Correlation Coefficient)given in the table {A. However, this rule of thumb can vary from field to field. Answer: -0.85 (Option d) is the strongest correlation coefficient which represents the strongest correlation as compared to others. r < 0 indicates a negative association. The following points are the accepted guidelines for interpreting the correlation coefficient: 0 indicates no linear relationship. Option (C) is the correct answer : - 0.92. 0.30. A strong downhill (negative) linear relationship. The strongest linear relationship is indicated by a correlation coefficient of -1 or 1. d)0.19. Solution for Which correlation coefficient (r) result represents the STRONGEST correlation: Group of answer choices r = + 0.08 r = - 0.09 r = - 0.03 r = + 0.05 Which of the following correlation coefficients represents the variables with the strongest degree of relationship? 0.45 c. 0.65 d. 0.75 Which of the following represents the strongest linear correlation? Answer: -0.85 (Option d) is the strongest correlation coefficient which represents the strongest correlation as compared to others. B) -0.915. A. The Pearson Product-Moment Correlation Coefficient (r), or correlation coefficient for short is a measure of the degree of linear relationship between two variables, usually labeled X and Y.While in regression the emphasis is on predicting one variable from the other, in correlation the emphasis is on the degree to which a linear model may Pearsons correlation is a correlation coefficient commonly used in linear regression. CORRELATION. Select one: a. A paediatric registrar has measured the pulmonary anatomical dead space (in ml) and height (in cm) of 15 children. Pearsons correlation coefficient is represented by the Greek letter rho ( ) for the population parameter and r for a sample statistic. This is the weakest correlation among the answer choices. The correlation coefficient is the slope of that line. Share this article. Solution for Which correlation coefficient (r) result represents the STRONGEST correlation: Group of answer choices r = + 0.08 r = - 0.09 r = - 0.03 r = + 0.05 The correlation coefficient has its value to be from -1 to 1. The correlation r measures the strength of the linear relationship between two quantitative variables. Which of the following correlation coefficients represents the strongest linear relationship? 0.50. n = sample size. 0.8. Each point on the plot is a different measurement. In the simple linear regression equation, the term b 0 represents the A linear correlation coefficient Which of the following correlation values indicated the strongest linear relationship between two quantitative variables? To interpret its value, see which of the following values your correlation r is closest to: Exactly 1. 0.45 C. 0.65 D. 0.75} are positive, so higher the value of r Strongest the correlation. .89 c. .22 d. -.97 Correlation coefficient: Indicates the direction, positively or negatively of the relationship, and how strongly the 2 variables are related. Which correlation coefficient represents the strongest linear relationship? Negative Correlation. b)1.94. c)0.58 - This is what the textbook says is the correct answer, but why? A t-test essentially examines whether a statistically significant difference. How to determine the strongest correlation? 1. Values of r near 0 indicate a very weak linear relationship. Correlation coefficient ranges from -1 to 1, where "-1" represents the strongest negative correlation and " d) A correlation of +1.5 is very strong. Hence 1.20 does not lie in this range. C. The correlation coefficient representing the strongest relationship between the independent and dependent variable is the one that is closest to either +1 or -1. Which of the following values indicates the strongest correlation? Questions 23 to 27: The simple linear regression equation can be written as y b 0 b 1 x. DEFINITION. The correlation coefficient (r) is more closely related to R^2 in simple regression analysis because both statistics measure how close the data points fall to a line. The following table shows the possible outcomes using the format of (die, coi n). = sum of the squared differences between x- and y-variable ranks. Therefore, 0.62 represents the strongest correlation among all the given options. The weakest linear relationship is indicated by a correlation coefficient equal to 0. y-intercept. A perfect correlation of A. r=-0.65 B. r=-0.30 C. r=0.00 D. r=0.50 E. None of the above The following are meanings of slope (THERE MAY BE MORE THAN ONE ANSWER) answer choices . If you have a correlation coefficient of 1, all of the rankings for each variable match up for every data pair. 10 . D) -567. Just snap a picture of the question of the homework and CameraMath will show you the step-by-step solution with detailed explanations. Let us understand how did we arrive at the answer. Keep in mind that any numbers that are between -0.5 and -0.7 show weak negative correlation only, same for positive. Positive Correlation. In the simple linear regression equation, the symbol y represents the A. average or predicted response. The one that indicates a strong negative linear relationship between the two variables of interest is: a. Explanation: Correlation is the standardized measure of the relationship between two variables and indicates the strength and direction of the linear relationship between two random variables. SURVEY . Which correlation coefficient represents the strongest linear relationship? This correlation coefficient is a single number that measures both the strength and direction of the linear relationship between two continuous variables. Explanation: I would say 0.68, but still 0.68 does not indicate a strong correlation. Which of the following correlation coefficients represents the strongest. -0.92 represents the strongest negative linear correlation among the given options as it lies nearest to -1. Answer: -0.85 (Option d) is the strongest correlation coefficient which represents the strongest correlation as compared to others. The correlation coefficient takes on values ranging between +1 and -1. 0.70. Values between 0 and 0.3 (0 and -0.3) indicate a weak positive (negative) linear relationship via a shaky linear rule. Q.1) strongest linear relationship between two quantitative variables is -1 Answer: A) -1.0 Q.2) In normal distribution, mean = median = mode If we convert the normal distributed scores into st. 1.03 -.02 -.89 .75-.89. In all cases, . Correlation is a term that is a measure of the strength of a linear relationship between two quantitative variables (e.g., height, weight). The data cloud suggests a linear relationship, put the dots are not in a perfect line. The greater the absolute value of the Pearson product-moment correlation coefficient, the stronger the linear relationship. (1) 0.79 (3) -0.12 (2) 0.36 (4) -0.87 O 0.79 O 0.36 O -0.12 O -0.87 A strong downhill (negative) linear relationship. answer choices . 1 Expert Answer A) 0.92 represents the strongest correlation. Experts are tested by Chegg as specialists in their subject area. rise over run. r > 0 indicates a positive association. The correlation coefficient, denoted by r, is a measure of the strength of the straight-line or linear relationship between two variables. 1 Answer to In regression analysis, which of the following correlation coefficients represents the strongest relationship between the independent and dependent variables? 0.45 C. 0.32 D. 0 Get the answers you need, now! 0.85 B. Correct answers: 2 question: Which of the following r-values represents the strongest correlation? i. 11 r. BIG IDEAS. 900 seconds . A) +.99 B) 1.00 C) +.01 D) .59: Definition +.99: The coefficient of correlation lies between -1.0 and +1.0. while negative correlation is when one variable increases as the other decreases. A) +.99 B) 1.00 C) +.01 D) .59: Definition +.99: Explanation: When the correlation is strong (r is close to 1), the line will be more apparent. The following points are the accepted guidelines for interpreting the correlation coefficient: 0 indicates no linear relationship. Just snap a picture of the question of the homework and CameraMath will show you the step-by-step solution with detailed explanations. Which of the following correlation School University Of Georgia; Course Title STAT 3000; Type. Pearsons correlation coefficient is represented by the Greek letter rho ( ) for the population parameter and r for a sample statistic. +3.00 c. -.85 ----- 2- Which is not an assumption for Pearson's r: Select one: a. scores on Y should be linearly related We review their content and use your feedback to keep the quality high. A. r = -0.70 B. r = 0.00 C. r = 0.50 D. r = 0.10 A. 0.5-0.9-0.3. 0.85 B. 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). 1 Expert Answer A) 0.92 represents the strongest correlation. Correlation coefficients are indicators of the strength of the linear relationship between two different variables, x and y. The weakest linear relationship is indicated by a correlation coefficient equal to 0. 23. C) 0.864. Generally, correlation coefficients range between -1.00 to +1.00. The strongest linear relationship is indicated by a correlation coefficient of -1 or 1. Pages 6 Ratings 50% (4) 2 out of 4 people found this document helpful; The strongest linear relationship is indicated by a correlation coefficient of -1 or1. The r-value that represents the strongest correlation is (a) - 0.83. 1- Correlation can never be greater than 1 or less than minus 1. The weakest linear relationship is indicated by a correlation coefficient equal to 0. 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. Which of the following correlation coefficients represents the weakest correlation between two variables? 0.50. 0 indicates no linear correlation between two variables; 1 indicates a perfectly positive linear correlation between two variables; Often denoted as r, this number helps us understand how strong a relationship is between two variables.

which of the following represents the strongest linear correlation