[This topic is pre-release documentation and is subject to change in future releases. Blank topics are included as placeholders.]

Bean for calculating the regression slope and y intercept (same to Microsoft Excel LINEST function).

The following tables list the members exposed by the RegressionBean type.

Public Methods

  NameDescription
Clone
Creates a new object that is a copy of the current instance.
(Inherited from BaseStatisticsBean.)
Equals
Determines whether the specified Object is equal to the current Object.
(Inherited from Object.)
GetHashCode
Serves as a hash function for a particular type. GetHashCode() is suitable for use in hashing algorithms and data structures like a hash table.
(Inherited from Object.)
GetType
Gets the Type of the current instance.
(Inherited from Object.)
ToString
Returns a String that represents the current Object.
(Inherited from BaseStatisticsBean.)

Protected Methods

  NameDescription
Finalize
Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
(Inherited from Object.)
MemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)

Public Constructors

  NameDescription
RegressionBeanNew

Public Properties

  NameDescription
N
Returns the number of data points.
(Inherited from BaseStatisticsBean.)
slope
Gets the slope.

Slope
Returns the slope.

SumXSq
For use by subclasses, returns sum (X * X).
(Inherited from BaseStatisticsBean.)
SumXY
For use by subclasses, returns sum (X * Y).
(Inherited from BaseStatisticsBean.)
SumYSq
For use by subclasses, returns sum (Y * Y).
(Inherited from BaseStatisticsBean.)
xaverage
Returns the average of all X data points.
(Inherited from BaseStatisticsBean.)
XAverage
Returns the average of all X data points.
(Inherited from BaseStatisticsBean.)
XStandardDeviationPop
Calculates standard deviation for X based on the entire population given as arguments. Equivalent to Microsoft Excel formula STDEVPA.
(Inherited from BaseStatisticsBean.)
XStandardDeviationSample
Calculates standard deviation for X based on the sample data points supplied. Equivalent to Microsoft Excel formula STDEV.
(Inherited from BaseStatisticsBean.)
xsum
Returns the sum of all X data points.
(Inherited from BaseStatisticsBean.)
XSum
Returns the sum of all X data points.
(Inherited from BaseStatisticsBean.)
xvariance
Calculates standard deviation for X based on the sample data points supplied. Equivalent to Microsoft Excel formula STDEV.
(Inherited from BaseStatisticsBean.)
XVariance
Calculates standard deviation for X based on the sample data points supplied. Equivalent to Microsoft Excel formula STDEV.
(Inherited from BaseStatisticsBean.)
yaverage
Returns the average of all Y data points.
(Inherited from BaseStatisticsBean.)
YAverage
Returns the average of all Y data points.
(Inherited from BaseStatisticsBean.)
YIntercept
Returns the Y intercept.

YStandardDeviationPop
Calculates standard deviation for Y based on the entire population given as arguments. Equivalent to Microsoft Excel formula STDEVPA.
(Inherited from BaseStatisticsBean.)
YStandardDeviationSample
Calculates standard deviation for Y based on the sample data points supplied. Equivalent to Microsoft Excel formula STDEV.
(Inherited from BaseStatisticsBean.)
ysum
Returns the sum of all Y data points.
(Inherited from BaseStatisticsBean.)
YSum
Returns the sum of all Y data points.
(Inherited from BaseStatisticsBean.)
YVariance
Calculates standard deviation for Y based on the sample data points supplied. Equivalent to Microsoft Excel formula STDEV.
(Inherited from BaseStatisticsBean.)