p-value=

Q: Solve for M. Q=29twM^2/23c

A:

Q: -7.1+(- 1.9)

A: Solving the problem by doing just addition.

Q: z is less than -1.58

A: Givenz is less than -1.58

Q: State true or false  -p >= -p

A:

Q: gra 4- 3+ -7 -6 -5 -4 3 -2 -1 2 3 4 5 6. 7 y= Preview

A:

Q: 0.6(10x+19) = 2.8(0.2x + 5)

A: Determine the value of X.   The value of X is obtained by solving the given equation below as…

Q: y=12/-2 + -5x/2

A: Simplifying:

Q: -7/6 - (-2/9) =-25/18

A: Consider L.H.S. and Solve by taking LCM of denominators.LCM of denominators (6,9) = 18

Q: 6= .01t^2-.31t + 8.57

A: We can find answer as given below

Q: 0.5 x 0.4-=

A: A fraction is a number in the form xy (where x and y are both integers and y≠0). In the above number…

Q: Between z= -1.98 and z= -0.03

A: We have to find area Between z= -1.98 and z= -0.03

Q: 4y = 7/8

A: Given equation,

Q: $5x = $10,000 + $3x + 0.10 * ($10,000 + $3x). solve for x

A: The objective of the question is to solve for the variable 'x' in the given equation.

Q: The area that lies between -1.10 and -0.36.

A:

Q: 5 ( 1.1x + 9 ) = 2 ( -6 - 0.1x )

A: First we solve the bracket and then we rearrange the equation. All the variable are arrange in one…

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.