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- 7.(0) What is the Fisher linear discriminant method. (b) Given the 2-d data below for two classes: al-[(1,1), (1,2), (1,4), (2,1), (3,1), (3,3)], m2-[(2,2), (3,2), (3,4), (5,1), (5,4), (5.5)). Determine the optimal projection line in a single dimension.217) Suppose that Y is normal and we have three explanatory unknowns which are also normal, and we have an independent random sample of 41 members of the population, where for each member, the value of Y as well as the values of the three explanatory unknowns were observed. The data is entered into a computer using linear regression software and the output summary tells us that R-square is 0.9, the linear model coefficient of the first explanatory unknown is 7 with standard error estimate 2.5, the coefficient for the second explanatory unknown is 11 with standard error 2, and the coefficient for the third explanatory unknown is 15 with standard error 4. The regression intercept is reported as 28. The sum of squares in regression (SSR) is reported as 90000 and the sum of squared errors (SSE) is 10000. From this information, what is the number of degrees of freedom for the t-distribution used to compute critical values for hypothesis tests and confidence intervals for the individual…
- 13-20. If V(X) = V(Y) = 7 and V (X - Y) = the correlation coefficient between random %3D variable X and Y is (i) -: (ii)} ;For each of the correlations respond with the following (Revise*Anxiety, Revise*Exam, and Anxiety*Exam) 1. Was the correlation significant? 2. Report the results in APA formatThere are two random variables X and Y, and their correlation coefficient pX,Y = 0.7. Now, we have two new random variables A = 2.5X+1 and B = 4Y+2. Please compute the correlation coefficient of A and B, PA,B Please round your answer to one decimal place.
- For 9 observations on supply (X) and price (Y) the following data are obtained∑(X-90) = -25 , ∑(X-90)2 = 301, ∑(Y-127) = 12, ∑(Y-127)2 = 1006∑(X-90) ∑(Y-127) = -469. Compute correlation coefficient?Question 3 have many parts please answer them for me!I've created a Correlation Matrix in Microsoft Excel. I need to identify 4 pairs of variables that have the highest correlation. How would I do this? The matrix is attached to this question.
- Let 0 = (B, o^2)^T denotes the unknown parameters for multiple linear regression. Find the Cramer-Rao lower bound matrix for the vector of the parameters.Give the formula for calculating the Kendall's partial rank correlation and Piges rank correlation coefficient between different variables like X and Y, Z and P and so on eliminating the effect of the third variable like Z, P, X etc? .The correlation matrix between the potential explanatory variables is given: 1 - 0,94 - 0,40 - 0,90 0,69 - 0,94 1 0,59 0,92 -0,56 R= -0,40 0, 59 1 0,35 -0,49 - 0, 35 0, 35 - 0,56 - 0,49 - 0, 35 -0,90 0,92 1 0,69 1 Determine the critical correlation coefficient based on the minimax rule.