Discuss the sing ularities Poles fcz) Ze sin z (スー2)(ス-1(+5z+6)Lス+マ)(ズ+り)

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Q: 21 years old). The results of the su

A: Here we need to construct the 99\%99% confidence interval for the difference between proportion of…

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Q: Determine and y such that 0 [xy 139+223-412,3] = 2x y -5

A: To determine the values of x and y.

Q: [ Select ] v , and E' ( Select] The translation that transformed PINE to P'I'N'E is (x + [ Select] […

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Q: 1. Let A be a finite set of cardinality n, where n e N, and let k be a non-negative integer. (a) How…

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Q: Find the symmetric difference of {1, 3, 5} and {1, 2, 3}.

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Q: Graph X(-1.2). -2 -1 2. -1 -2

A: The point is X(-3/2,2) i.e (-1.5,2)

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Q: Write as a line ar Combination of V, ,Vz,V3 where V= (1,5,4) ,V, =(1,3,-2),Vz=(2,7,-1) Vz=(1,6,7)

A: The given vectors are: v=1, 5, 4, v1=1, 3, -2, v2=2, 7, -1 and v3=1, 6, 7 Write the vector v as a…

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Q: Vxy + xy = 7, y"

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Q: -8 ventex= X -int=

A: The given quadratic function,   f(x)=2x2+6x-8

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Q: What does a [-20, 2, 1] by [-4, 5, 0.5] viewing rectangle mean?

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Q: Evaluate the following indefinite integrals. 1. f sec ³ x dx

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Q: 59. sin s= sece1 2sece 2.

A: Given that: sin2θ2=secθ-12secθ

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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.