Data Anlaysis Assignment Example | Topics and Well Written Essays - 1500 words

Data Anlaysis - Assignment ExampleUse a calculator and your adjudicate to calculate X, Y, XY and X2. Use these values to write down the pair of normal equations the solutions of which give the constant consideration (a) and the slope coefficient (b) of the fitted Ordinary Least Squares line Y = a + bX.Step 2.This footprint involves taking the fond(p) derivatives and setting them equal zero provides us with candidate points for a minimization or maximization. In this step we write the equation that the partial derivatives will be taken in matrix form.Step 3.The partial derivatives of the matrix is taken in this step and set equal to zero. b is a vector or coefficients or statements. Because the equation is in matrix form, there are k partial derivatives ( wiz for all(prenominal) parameter in b) set equal to zero.Step 4.Simple matrix algebra is used to rearrange the equation. The first say conditions are to set the partials equal to zero. First, all terms are divided by the sca lar 2. This removes the scalar from the equation. This is simply for ease. Second, is added to both side of the equation. On the left hand side, the two terms and cancel each other out leaving the null matrix. This step moves to the right hand side.Step 5.Finally, b is gear up by pre multiplying both sides by . Division by matrices is not defined, but multiplying by the inverse is a similar operation. Recall, , where I is the identity matrix. Multiplying any matrix, A, by I results in A, similar to multiplying by one in linear algebra.The coefficient of gross domestic product is 0.0098662. So for every unit increase ingross domestic product, a .0.0098662 unit increase inINis predicted, holding all other variables constant. On the other hand the p-value associated with the GDP is 0.800 a value greater than 0.05 (significance level), we thus fail to reject the null hypothesis and conclude that the coefficient forGDP(.0098662) is not statistically significantly different from 0. Thus at 5% level of significance