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…

Answered: Question 5 Pearson's correlation is…

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
Question-6 Use the Table given below to find out: a. Correlation coefficient between Hydrocarbon levels and purity. b. Regression model. Observation number 1 2 3 4 5 6 7 8 9 10 11/ 12 Hydrocarbon Levels, % 0.99 1.02 1.15 1.29 1.46 1.36 0.87 1.23 1.55 1.4 1.19 1.15 Purity % 90.01 89.05 91.43 93.74 96.73 94.45 87.59 91.77 99.42 93.65 93.54 92.52 Pu
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.
Identify if the statement is TRUE or FALSE 1. The correlation coefficient measures the strength of association between the population. 2. The pearson product moment correlation coefficient is used to measure linear association. 3. The population correlation coefficient (p) is an estimate of sample correlation coefficient (r). 4.The closer r is to 0, the stronger linearity between variables. 5. In hypothesis testing for the correlation, rejecting null hypothesis means there is no significant correlation between the variables in the population.
Question: What is the interpretation of a Pearson's correlation coefficient value of 0.7 between two variables, X and Y?
You conduct a Pearson Product-Moment correlation test to see if two variables are related to each other. Even though the test is significant, you suspect that there actually isn't a real relationship between X and Y, and that they only seem to be related because of their relationship to another variable Z. This is called: bi-directionality the third-variable problem reverse-causality a causal effect
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Section 10.1 Question #9 Police sometimes measure shoe prints at crime scenes so that they can learn something about criminals. Listed below are shoe print lengths, foot lengths, and heights of males. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Based on these results, does it appear that police can use a shoe print length to estimate the height of a male? Use a significance level of α=0.05. Shoe Print (cm) 30.2 30.2 31.1 31.4 27.3 Foot Length (cm) 25.2 25.2 27.7 26.6 25.6 Height (cm) 181.7 181.3 191.7 172.2 172.1 The linear correlation coefficient is r= __________. (Round to three decimal places as needed.) The test statistic is t= _________. (Round to two decimal places as needed.) The P-value is _________. (Round…
#1
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…
Which of the following is not a property of the product moment correlation coefficient? it is independent of sample size and units of measurement. it is a measure of association between two variables. it always lies between 1 and -1. it implies a causal relationship between two variables.

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