Find the indicated value. z0.36

Q: 31 55 46

A: The given figure is a trapezoid.

Q: Find x. Round to the nearest hundredth.

A: our objective is to find x

Q: 17.5 21 33

A: q=30.8

Q: 2. Find the value of x. 13 x 2. 3.

A:

Q: 2.25x.2

A:

Q: Determine the value of x. 5x+35=50

A:

Q: 7. 心、、h 4. O0.

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Q: Describe the error · %3D

A: The dot product of two vectors, <a, b> and <x, y> is defined as follows.

Q: Solve for x.

A:

Q: Determine the value of x. 500

A: Here, the sides AB and BC are congruent. So, the opposite angles are the same. So, ∠ACB=∠BAC=x

Q: v+1.57=3.13

A:

Q: 11. 36.4 28 49

A:

Q: find the devivetive %3D x+6

A: Given that      f(x) = [x/√(x+6)]3 Here we have to find the derivative of f(x) .

Q: Find the value of x. Make 6. 4. 1. X%=

A:

Q: Calculade L7. 5e ²4 €/²2 2

A:

Q: find the value of x. Round to the nearest tenth.

A:

Q: Solve for x. 9. 3 60

A: Given, Properties: when two secant line meet outside, then AB⋅AC=AD⋅AE

Q: 1-r² 8. r dz dr de.

A: Explanation of the answer is as follows

Q: c-0.25c=120

A: Given,

Q: 9. 21 7.

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Q: Find the value of y. 30 45° 15 2 30 2 15

A: We have to find the value of x and y

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.