which of the following represents the strongest linear correlationwhich of the following represents the strongest linear correlation

1 Expert Answer A) 0.92 represents the strongest correlation. Which of the following correlation coefficients represents the variables with the strongest degree of relationship? 2- A correlation close to zero indicates that the two variables are not related. 900 seconds . But that might lead to the linear correlation coefficient being zero or near zero. the answer is #2 -0.11. -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. See my table below. The correct answer is-.95. … A t-test essentially examines whether a statistically significant difference. Pearson’s correlation is a correlation coefficient commonly used in linear regression. Values between 0 and 0.3 (0 and -0.3) indicate a weak positive (negative) linear relationship via a shaky linear rule. C. estimated slope. = the difference between the x-variable rank and the y-variable rank for each pair of data. We review their content and use your feedback to keep the quality high. 1 Answer to In regression analysis, which of the following correlation coefficients represents the strongest relationship between the independent and dependent variables? A. r=-0.65 B. r=-0.30 C. r=0.00 D. r=0.50 E. None of the above Which of the following Pearson correlation coefficients represents the strongest linear relationship between two variables? .89 c. .22 d. -.97 Answer: -0.85 (Option d) is the strongest correlation coefficient which represents the strongest correlation as compared to others. The coefficient of correlation lies between -1.0 and +1.0. Values can range from -1 to +1. i. However, this rule of thumb can vary from field to field. The weakest linear relationship is indicated by a correlation coefficient equal to 0. The weakest linear relationship is indicated by a correlation coefficient equal to 0. Generally, correlation coefficients range between -1.00 to +1.00. DUNS NUMBER: 066141688 NAICS CODES: 541611, 541612, 541613, 611430 202-359-0573 linda@TWCTeam.com Connect with us on LinkedIn The strongest linear relationship is indicated by a correlation coefficient of -1 or1. Correct answer to the question Which of the following regressions represents the strongest negative linear relationship between x and y? A perfect downhill (negative) linear relationship. 0.5-0.9-0.3. 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 … -0.95 C. +0.85 D. -0.75. Which of the following correlation coefficients represents the weakest relationship between two variables? n = sample size. Which of the following correlation... School University Of Georgia; Course Title STAT 3000; Type. a. Generally, correlation coefficients range between -1.00 to +1.00. C) 0.864. When the correlation is weak (r is close to zero), the line is hard to distinguish. Solution for Which of the following indicates the strongest correlation? Expert Answer. Explanation: The greater the absolute value of the Pearson product-moment correlation coefficient, the stronger the linear relationship. d) A correlation of +1.5 is very strong. In the simple linear regression equation, the symbol yˆ represents the A. average or predicted response. +3.00 c. -.85 ----- 2- Which is not an assumption for Pearson's r: Select one: a. scores on Y should be linearly related Therefore, the coefficient of correlation could not be 1.03. – 0.50. In all cases, . SURVEY . -0.92 represents the strongest negative linear correlation among the given options as it lies nearest to -1. 23. Correlation coefficient ranges from -1 to 1, where "-1" represents the strongest negative correlation and " … A moderate downhill (negative) relationship. Hence 1.20 does not lie in this range. A moderate downhill (negative) relationship. 2. The following are coefficients of correlation (). 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. Option (C) is the correct answer : - 0.92. Explanation: 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 correlation coefficient represents the strongest linear relationship? The correlation coefficient takes on values ranging between +1 and -1. The following are meanings of slope (THERE MAY BE MORE THAN ONE ANSWER) answer choices . Who are the experts? Uploaded By tlbama21. The strongest relationship is -.98. Positive Correlation. 0.85 B. – 0.30. This correlation coefficient is a single number that measures both the strength and direction of the linear relationship between two continuous variables. 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 -0.92 … The correlation coefficient is the slope of that line. a. exists between two standard deviations . Which of the following correlation values indicates the strongest linear relationship between two quantitative variables? rise over run. Which of the following represents the strongest linear correlation? A strong downhill (negative) linear relationship. There is a strong positive correlation between the two sets of scores . -59 +.10 -1.00 +.76 2. CameraMath is an essential learning and problem-solving tool for students! Pages 6 Ratings 50% (4) 2 out of 4 people found this document helpful; Pearson’s linear correlation coefficient only measures the strength and direction of a linear relationship. 0.45 C. 0.65 D. 0.75} are positive, so higher the value of r Strongest the correlation. 0.55 B. The correlation r measures the strength of the linear relationship between two quantitative variables. In this regard, what number is a strong 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 B. estimated intercept. Correlation is a term that is a measure of the strength of a linear relationship between two quantitative variables (e.g., height, weight). If you have a correlation coefficient of 1, all of the rankings for each variable match up for every data pair. 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 weakest correlation between two variables? test 3 spring - 1. A positive correlation means that if one variable gets bigger, the other variable tends to get bigger. 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 –0.80 C. 1.25 D. –0.95 2. 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). Explanation: I would say −0.68, but still −0.68 does not indicate a strong correlation. A perfect downhill (negative) linear relationship. d)0.19. The letter “r” is used to represent correlation coefficients. A) +.99 B) 1.00 C) +.01 D) .59: Definition +.99: The strongest linear relationship is indicated by a correlation coefficient of -1 or 1. The Highest value of … From those measurements, a trend line can be calculated. 0.8. The further away r is from zero, the stronger the relationship between the two variables. 1. Answer: -0.85 (Option d) is the strongest correlation coefficient which represents the strongest correlation as compared to others. A) +.99 B) 1.00 C) +.01 D) .59: Definition +.99: 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. Experts are tested by Chegg as specialists in their subject area. 1. DEFINITION. Explain your reason. There are two kinds of correlation. The other numbers given in the question indicate very weak correlation. -.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. Just snap a picture of the question of the homework and CameraMath will show you the step-by-step solution with detailed explanations. To interpret its value, see which of the following values your correlation r is closest to: Exactly – 1. The one that indicates a strong negative linear relationship between the two variables of interest is: a. +30 b. 0.45 C. 0.32 D. 0… Get the answers you need, now! Which of the following correlation coefficients represents the strongest linear relationship? A. r = -0.70 B. r = 0.00 C. r = 0.50 D. r = 0.10 CORRELATION. – 0.70. a) -0.85 - This was my answer which I thought was the closest to one (meaning strongest. Keep in mind that any numbers that are between -0.5 and -0.7 show weak negative correlation only, same for positive. – 0.30. Negative Correlation. while negative correlation is when one variable increases as the other decreases. 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. 0.55 b. Pearson r: • r is always a number between -1 and 1. The data cloud suggests a linear relationship, put the dots are not in a perfect line. Upvote (2) Downvote (0) Reply (0) Answer added by Ahmad Al Zoubi CMA CertIFR, Accounting Manager , Abdul Latif Jameel 0.85 B. Plot 1 shows little linear relationship between x and y variables. Which of the following values indicates the strongest correlation? Thanks for your help! The correlation coefficient has its value to be from -1 to 1. Which of the following correlation coefficients represents the variables with the strongest degree of relationship? Pearson’s correlation coefficient is represented by the Greek letter rho ( ρ) for the population parameter and r for a sample statistic. Which of the following correlation coefficients represents the strongest. -0.10 - B. • Values of r near 0 indicate a very weak linear relationship. Which of the following r-values represents the strongest correlation? The correlation coefficient takes on values ranging between +1 and -1. The following table shows the possible outcomes using the format of (die, coi … n). Which of the following correlation values indicated the strongest linear relationship between two quantitative variables? The value of r is always between +1 and –1. Keep in mind that any numbers that are between -0.5 and -0.7 show weak negative correlation only, same for positive. 1.03 -.02 -.89 .75-.89. 0.62 B. 1.03 -.02 -.89 .75 . 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. 10 . A) 0.29. 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 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. r < 0 indicates a negative association. Questions 23 to 27: The simple linear regression equation can be written as yˆ b 0 b 1 x. 1 Expert Answer A) 0.92 represents the strongest correlation. Which of the following values indicates the strongest correlation? D. explanatory variable. The value of correlation between any two variables ranges from -1 to +1. The weakest linear relationship is indicated by a correlation coefficient equal to 0. Let us understand how did we arrive at the answer. Each point on the plot is a different measurement. 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. The following points are the accepted guidelines for interpreting the correlation coefficient: 0 indicates no linear relationship. How to determine the strongest correlation? Plot 2 shows a strong non-linear relationship. A strong downhill (negative) linear relationship. Answer: a . 0.45 c. 0.65 d. 0.75 Just snap a picture of the question of the homework and CameraMath will show you the step-by-step solution with detailed explanations. Pearson's correlation is a correlation coefficient commonly used in linear regression. 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. Correlation coefficient: Indicates the direction, positively or negatively of the relationship, and how strongly the 2 variables are related.

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