b) Calculate the value of Pearson's coefficient of correlation for the following series A and B: A 105 104 102 101 100 99 98 96 93 92 В 101 103 100 98 95 96 104 92 97 94

Q: Which of the following correlation coefficients (r) shows the strongest relationship? o 0.10 o…

A: Higher the magnitude (ignoring the sign) of correlation coefficient, stronger the relationship.

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A:

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A: The objective of the question is to understand the nature of the relationship between two variables…

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A: Correlation coefficient - r:The Karl Pearson’s product-moment correlation coefficient or simply, the…

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A: Given : Data is given Karl Pearson's Correlation Coefficient = ?

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A: Since you have posted multiple sub-parts, we will solve the first three sub-parts for you. To get…

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A: NOTE: Since we only answer up to 3 subparts , we will answer the first 3. Please resubmit the…

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A: kiji

Q: 7. Calculate Karl Pearson's coefficient of correlation from the following data: 400 500 600 700 100…

A:

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A: Pearson correlations are given.

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A: Correlation is the degree or extent of relationship between two variables.

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Q: X 1.3 -1.2 -0.1 0.5 -0.8 Y 1.6 -2.1 -0.2 0.3 -0.6

A: Given: Sample size(n)=5

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Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related. 

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.