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.
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4. Draw a careful graph of each function and describe its properties in detail.
a. y = 2 tan nx
b. y = 6 csc()+3
C. y= sin-1x
d. y = cos-1x
5. Find the exact value of each expression. Express all angle measures in Radians. Explain or show work
leading to each answer. (Include triangles and unit circles.)
* (cos)
a. sin-1
е.
COs-1
b. tan-(V3)
f.
Cos ( sin-1
g. tan (cos-1 ()
(sin )
C.
Cos-1
COS
d. sin (sin- ()
h. cos-1
6. When defining the inverse sine function, the domain of y = sin x is restricted to -<x<.
a. Why is restricting the domain of y = sin x to 0<x< not suitable for defining the inverse of the function?
b. What would be another acceptable way to restrict the domain of the inverse function?
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