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Following are the two normal equations obtained for deriving the regression line of y and x: 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 a line that represents the relationship between the dependent variable y and the independent variable x. It is used to predict the value of y for a given value of x.


Normal Equations


The normal equations are used to derive the coefficients of the regression line. The equations are:


5a + 10b = 40

10a + 25b = 95


Solving the Normal Equations


To solve the normal equations, we can use the method of elimination. We can multiply the first equation by 2 and subtract it from the second equation to eliminate a:


10a + 25b = 95

-(10a + 20b = 80)

5b = 15

b = 3


Substituting b = 3 in the first equation:


5a + 10(3) = 40

5a = 10

a = 2


Regression Line


The regression line of y on x is given by:


y = 2 + 3x


This means that for every one unit increase in x, the predicted value of y increases by 3 units. The intercept of the line is 2, which represents the value of y when x is 0.
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Following are the two normal equations obtained for deriving the regression line of y and x: 5a 10b = 40 10a 25b = 95 The regression line of y on x is given by?
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