Use linear regression to write the equation of the line that is the best fit for the following points.

Q: I need help with questions 20-22

A: Note: Hi there! Thank you for posting the question. As there are several independent questions, acco...

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Q: Statistics Question

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Q: 5. What is the symbol u called and what does it stand for? How do we usually determine its value?

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A: It is an important part of statistics. It is widely used. 

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A: The linear regression equation is given by, y = ax+b y = -1.102 * x + 38.325

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Q: Question number 3

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A: a) Enter the data in Excel.

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A: The correlation coefficient is r = 0.9.

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.