Suppose we have a dataset with stock prices (Y) on different time points (X). After performing a linear regression of Y on X, we get the following plot of residuals vs fitted values.

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Q: regression is done on data that represent ordered pairs true or false

A: A regression analysis is carried out.

Q: True or False and why? Explain. Using linearization we can estimate : (1.003)2(1.001)4  is…

A: Linearization of a function f(x,y) about a point (a, b) is given by

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Q: Linear Regression - Christmas Trees The following table gives the total number of live Christmas…

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Q: What is linear regression? Define them using a mathematical formula. How can we train a linear…

A: Lets understand some concept before going into this topic:suppose we have one variable called price…

Q: regression has two variables, one independent variable and one dependent variable. A _____…

A: Given that   ______  regression has two variables, one independent variable and one dependent…

Q: I need help please! Describe the culture in America during the 1950s through 1970s. How did this…

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Q: Regression Plot y=942.196-0.884°x R*2=0.768 900 920 940 960 980 1000 Independent Variable (x) Using…

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Q: Illustrate Linear independence?

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Q: 3. Find A and 0 in the following equation √3sin(330°) = A cos(0) where is an angle in the

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Q: differentiation- Can you have an y variable in your answer,

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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.