Which of the following statement is false? One important step in the method of variation of parameters is that in order to hind two unknown functions u1, ug we need one more equation so we set u y1 + uzy2 = 0. The variation of parameters method for a non-homogeneous second order linear ectation dons ists of solving the system of equations ujy1 + ubya = 0 uy + uby, = g(t) The variation of parameters method allows us to solve a non-homogeneous second order linear equation directly without solving the corresponding homogeneous equation. Basic idea of the variation of parameters is that we start with the complementary solution e qyi t coyo and replace c1, co by two unknown functions u1, ug and try to find a particular solution of the form yp = U1Y1 + u2Y2.
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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