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Following are the two normal equations obtained for deriving the regression line of y and x: none 45. 5a 10b = 40 10a 25b = 95 The regression line of y on x is given by?
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Following are the two normal equations obtained for deriving the regre...
Regression Line of y on x


The regression line of y on x is determined by the following steps:


Step 1: Calculate the slope of the regression line


The slope of the regression line is given by:


b = (nΣxy - ΣxΣy) / (nΣx^2 - (Σx)^2)


where n is the number of observations, Σxy is the sum of the product of x and y, Σx is the sum of x, Σy is the sum of y, and Σx^2 is the sum of the square of x.


Using the values from the given normal equations:


n = 2, Σxy = 40, Σx = 15, Σy = 45, and Σx^2 = 35


Substituting the values in the formula:


b = (2 * 40 - 15 * 45) / (2 * 35 - 15^2) = -5 / 5 = -1


Step 2: Calculate the y-intercept of the regression line


The y-intercept of the regression line is given by:


a = (Σy - bΣx) / n


Substituting the values:


a = (45 - (-1) * 15) / 2 = 30


Step 3: Write the equation of the regression line


The equation of the regression line is given by:


y = a + bx


Substituting the values:


y = 30 - x


Therefore, the regression line of y on x is y = 30 - x.
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Following are the two normal equations obtained for deriving the regression line of y and x: none 45. 5a 10b = 40 10a 25b = 95 The regression line of y on x is given by?
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