6. If a calculation of Pearson's r yields a value of -.96, which of the following statements is false?a. The observed correlation between variables is negative.b. There is a small amount of negative covariance between variables relative to random error.c. A high score on one variable is associated with a low score on the other.d. This correlation is useful for predictive purposes.e. Points on a scatterplot would resemble a straight line.7. Name the component that is used to capture data for analysis if SPSS software was used to processdata.a)b)c)d)Data ViewSelection ViewVariable ViewProcessing View

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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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2. A researcher performed a Pearson correlation analysis on the variables anxiety, wellbeing and stress to identify if they were correlated. The researcher performed the analysis in Jamovi and obtained the below table. Report the results of this analysis. Correlation Anxiety Wellbeing Stress Anxiety Pearson's r p-value Wellbeing Pearson's r -0.19 p-value 0.060 99 Stress Pearson's r 0.75 0.04 p-value < .001 0.720 N 99 99 |||
4. For the following scores, Y 4 1 a. Sketch a scatter plot and estimate the Pearson cor- relation. b. Compute the Pearson correlation. Copyright 2018 Cengage Leaming. All Rights Reserved. May not be 966
Statistics Question
The following statement contains an error. Choose the statement that best explains the error. "The correlation between shoe size and height is 0.87 inches" A. Correlation requires that both of the variables be categorical B. When stating the correlation coefficient, one must state whether it is a positive or negative relationship C. This statement does not tell us whether or not shoe size is correlated with height D. When reporting correlation, one does not report units because correlation has no units E. There is no error in this statement
A2. A study of test results at different schools shows that as the student-to-teacher ratio increases the average test result tends to decrease, although the relationship is quite weak. Which of the following is plausible value for the correlation between student-to- teacher ratio and average test results? A -0.9 B -0.3 C -0.01 D 0.3 E 0.9
2. Which of the following values cannot be a correlation coefficient? Group of answer choices -.274 1.473 -.650 .615
If when measuring two quantitative variables on an individual, we find that increases in the first variable x correspond to decreases in the second variable y, we say that A. there is a positive association between the two variables. b. there is a negative association between the two variables. c. there is no correlation between the two variables. d. there is a cause-and-effect relationship between the two variables.
10. The sign of the Pearson’s correlation coefficient (r) tells us what information? a. only the strength of the correlation (small, medium, or large) b. only the direction of the correlation (negative or positive) c. both the strength and direction of the correlation d. the strength, direction, and form of the correlation
. Differentiate between correlation vs. causation. When two variables are correlated (such as strength and running speed), they are associated with one another. Explain how, even if there is a correlation between the two, one might not cause the other. Provide an example of an association between variables where a causal relationship makes sense conceptually. Why can't correlations be used as a tool to prove a causal relationship between variables rather than just an association?
1. Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Is there sufficient evidence to conclude that there is a linear correlation between right and left arm systolic blood pressure measurements? Right Arm Left Arm 102 101 169 79 146 79 144 94 175 182
A national consumer magazine reported the following correlations. The correlation between car weight and car reliability is - 0.30. . The correlation between car weight and annual maintenance cost is 0.20. Which of the following statements are true? I. Heavier cars tend to be less reliable. II. Heavier cars tend to cost more to maintain. III. Car weight is related more strongly to reliability than to maintenance cost. (A) I only (B) II only (C) III only (D) I and II only (E) I, II, and III

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