Which of the following statements is true about Pearson correlation coefficient of two variables
Video TranscriptAnd the question, this is the style examining the relationship between two variables A and B. A researcher compute the Pearson correlation coefficient at 1.35. So which of the given statement is true here. Alright, so basically here the correct statement is that the researcher because incorrectly calculated the relationship between A. And B. Right? Why is it? So because a correlation coefficient value it can it lies within oneness one and Plus one, and it cannot be greater than one. Right? So here the Pearson correlation coefficient is 1.35, which is not possible. So there is some miscalculation uh done by the researcher, right? That will be the answer of the given question of this episode. Thank you for watching. Show Correlation is a statistical tool that shows the association between two variables. Regression, on the other hand, evaluates the relationship between an independent and a dependent variable. Below is a list of multiple-choice questions and answers on Correlation and Regression to understand the topic better. Answer: d
Answer: c
Answer: c
Answer: d
Answer: d
Answer: c
Answer: d
Answer: b
Answer: a
Answer: a
Answer: a
Answer: a
Answer: d
Answer: a
Answer: b Also See:
Which of the statement is true about Pearson correlation?Answer and Explanation: The most correct solution to this problem is provided by option D: It cannot be used with binary variables (those taking on a value of 0 or 1). To elaborate, Pearson's correlation can be used to analyze nominal variables with binary values (only two categories, coded as 0 and 1).
Which of the following statements is true regarding the correlation between two variables?The correct answer is d.
The correlation value between the given two variables denotes the strength and direction of the linear relationship between them.
What does Pearson r Tell us about two variables?The Pearson correlation measures the strength of the linear relationship between two variables. It has a value between -1 to 1, with a value of -1 meaning a total negative linear correlation, 0 being no correlation, and + 1 meaning a total positive correlation.
Which of the following statements about correlation coefficient is true?Answer and Explanation:
d) The statement "The sign of the correlation indicates the direction of the relationship between two variables" is correct as if the correlation takes negative value, then it means that there is inverse relationship between the two variables and vice-versa.
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