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Equation
the Regression Equation Y^\hat{ Y } = 4 + 15x1 + 2

Question 59

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Equation
The regression equation, Y^\hat{ Y } = 4 + 1.5x1 + 2.5x2 has been fitted to 25 data points.The means of x1 and x2 are 30 and 46,respectively.The sum of the squared differences between observed and predicted values of y has been calculated as SSE = 175,and the sum of the squared differences between y values and mean of y is SST = 525.
-Determine the multiple standard error of estimate.

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