Question 5Pearson's correlation is used to analyse the relationship between property size and propertyprice. Table 5 represents Pearson’s correlation output.1) Give appropriate null and alternative hypotheses.Null hypothesis Ho:Alternative hypothesis H::2) What is the correlation coefficient between the two variables?Correlation coefficient:3) At the alpha level of 0.01, is there a linear relationship between property size and propertyprice? Give your reason.4) If there is a linear relationship, what is the direction of the relationship?Table 5 Pearson correlation between the two variablesProperty sizeProperty priceProperty sizePearson Correlation.86**1Sig. (2-tailed).0039393

Pearson correlation coefficient is used to measure the strength of a linear association between two…

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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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Question 15 Which of the following is NOT true of the correlation coefficient? A) It must be between -1 and 1 B) It tells us nothing about the slope of a line that best fits the data, other than telling us whether the slope is positive or negative C) It can’t tell us anything about causality D) All of the above are true
The top portion of the Pearson's r correlation coefficient equation calculates the______ whereas the bottom portion calculates the___ 1)variance of x and the variance of y; covariance between variables x and y 2)covariance of variable ×; covariance of variable y 3)covariance between variables x and y; variance of x and the variance of y 4)covariance of variable v: covariance of variable x.
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If all the points in a scatter plot fall precisely on the regression line then the correlation is____ choose one perfect or negative or positive
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esc 13.1 1 Question 3 of 15 (1 point) Question Attempt: 1 of Unlimited For the 50 U.S. states, the sample correlation coefficient relating the 1980 per capita income and the 1999 per capita income is approximately 0.32 (source: U.S. Bureau of Economic Analysis, Survey of Current Business, May 2000). Based on this information, test for a significant linear relationship between the variables 1980 per capita income and 1999 per capita income by doing a hypothesis test regarding the population correlation coefficient p. (Assume that the two variables have a bivariate normal distribution.) Use the 0.05 level of significance, and perform a two-tailed test. Then complete the parts below. (If necessary, consult a list of formulas.) (a) State the null hypothesis Ho and the alternative hypothesis H₁. H₁ : p=0 H₁ : p = 0 (b) Determine the type of test statistic to use. (c) Find the value of the test statistic. (Round to three or more decimal places.) 2.340 Z (d) Find the two critical values at…

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