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A: This is because you are calling the method as an instance. You can either use the class method or call it with new MyClass.myMethod(); Either of these will work: String name = "Curtis"; int age = 30; MyClass.myMethod(name, age); or String name = "Curtis"; int age = 30; MyClass mc = new MyClass(); mc.myMethod(name, age); class MyClass { void myMethod(String name, int age) { System.out.println("Hello " + name + " age is " + age); } } You should read about the difference between static and non-static methods/variables in the Oracle tutorial. . Next, we calculated an empirical version of the correlation based on the law of total variance, which predicts that 〈Y^2〉 = 2〈Y〉^2^ + *σ*^2^. 〈Y〉 and *σ*^2^ are the means and variances of the two variables. However, there is no reason to assume that the variance of the two variables is the same; the law of total variance does not necessarily hold for two variables with different variances. To obtain a measure that does not rely on the variance of the two variables, we first calculated 〈Y〉 separately for the two variables. Then, we regressed Y on its own mean and the independent variable, and calculated the ratio 〈Y^2^/〈Y〉^2^〉 of the predicted variance to the observed variance. Hilbert's space is nonlinear. In general, we would expect the law of total variance to hold if the random variable *Y* were a *linear* function of the independent variable *X*. It should be possible to linearize the relationship between *Y* and *X* by estimating a finite-dimensional vector of parameters from the data and using a linear model to predict *Y* from that vector. Since the law of total variance states that Y is a linear function of X, we would expect the prediction to be highly accurate. It is thus an empirical validation

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