What does it mean to say that the linear correlation coefficient between two variables equals 1? What would the scatter diagram look like?.....Choose the correct answer below.O A. When the linear correlation coefficient is 1, there is a perfect positive linear relation between the two variables. The scatter diagramwould contain points that all lie on a line with a positive slope.B. When the linear correlation coefficient is 1, there is a perfect negative linear relation between the two variables. The scatter diagramwould contain points that all lie on a line with a negative slope.C. When the linear correlation coefficient is 1, there is a perfect horizontal linear relation between the two variables. The scatter diagramwould contain points that all lie on a horizontal line.D. When the linear correlation coefficient is 1, there is no linear relation between the variables. The scatter diagram would contain pointsthat show no discernable relationship.

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Answered: What does it mean to say that the…

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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What kind of relationship is depicted in the following graph? 7 2 1 0 2 3 a. A positive linear correlation b. A nonlinear correlation c. No correlation Od. A negative linear correlation 6 9 10
Which of the following correlation coefficients might lead a researcher to conclude that there is a weak, but significant, negative linear relation between variables X and Y? a. r=0.99 b. r=0.30 c. r=0 d. r=-0.30 c. r=-0.99
Please help me answer the questions about correlation according to the graph. So would it be linear, strong, positive, or no association? Or negative and weak?
the number of rubber bands used and the distance, incentimeters, of her jump. When they created a scatterplotthe relationship appeared to be linear, and the correlationwas r = 0.996. After discussing these results, the teacherinstructed the students to convert the distances to inches.What effect will this have on the correlation between thetwo variables?a) Because 1 cm = 0.393701 inches, the correlationwill become .392126.b) Because 1 cm = 0.393701 inches, the correlationwill become 2.5298.c) Because only the length measurements have changed,the correlation will decrease substantially.d) Because changing from centimeters to inches doesnot affect the value of the correlation, the correlationwill remain 0.996. e) Because inches is a much more common measure-ment for distance in the United States, the relation-ship between the data will be stronger and thus the correlation will increase.
a. The line that is closest to the points and its direction tells the direction of correlation that exists between the variables.trendlinescatterplotcartesian planefrequency polygon b. The following statements are true EXCEPT:A positive correlation exists when high values of one variable correspond to high values in the other variable.A negative correlation exists when high values in one variable corresponds to low values in one variable.A zero correlation exists when high values in one variable corresponds to neither high or low values in the other varA positive correlation exist when low values of one variable corresponds to low values in the other variable. c. The important numerical value in hypothesis testing isparametersample valueconclusioninterpretationd. Which of the following best represents a set of numerical data?meanproportionvariancerangee. In the analysis of a scatterplot, the element/s that should be considereddirectionstrength of correlationboth direction and…
urgen please
Dr. Chidi Anagonye studied how self-esteem (high versus low) and success on a school project (passed/succeeded or failed) influences whether students attribute the cause of the outcome to themselves or others. High scores on the dependent variable mean they attribute the outcome to themselves and low scores mean they attributed the outcome to others. Below are his results. Look at the graph below and select the statement that is most true about the graph: Attribution to Self 8 A 9 5 + 3 Low Self Esteem Success High Self Esteem O None of these are accurate Outcome There are 4 independent variables There is definitely an interaction There is definitely not an interaction Failure
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3. If there is a linear, strong, and positive relationship between the scores on two tests, we should conclude that A. Scoring high on one test causes an individual to score high on the other test. B. high scores on one test are associated with low scores on the other test. C. as one test score goes down, the other test score goes up. D. low scores on one test are associated with low scores on the other test. E. the value of r must be close to 0.
Suppose that two variables, x and y, have a correlation coefficient of −0.77. Which of the following statements are true? You must make a selection for each option. Click once to place a check mark for correct answers and click twice to empty the box for the wrong answers. check all that apply There is a strong relationship between these two variables. As x increases, y decreases. The variables have a negative linear relationship. As x increases, y increases. There is a weak relationship between these two variables.
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