SOFTWARE DESIGN
OBJECT ORIENTED DESIGN
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Detailed explanation-1: -The regression equation X on Y is X = c + dy is used to estimate value of X when Y is given and a, b, c and d are constant. Y = a + bx can also be interpreted as ‘a’ is the average value of Y when X is zero. X = c + dy, value c is the average value of X, when Y is zero.
Detailed explanation-2: -The formula for simple linear regression is Y = mX + b, where Y is the response (dependent) variable, X is the predictor (independent) variable, m is the estimated slope, and b is the estimated intercept.
Detailed explanation-3: -The formula for regression coefficients is given as a = n(∑xy)−(∑x)(∑y)n(∑x2)−(∑x)2 n ( ∑ x y ) − ( ∑ x ) ( ∑ y ) n ( ∑ x 2 ) − ( ∑ x ) 2 and b = (∑y)(∑x2)−(∑x)(∑xy)n(∑x2)−(∑x)2 ( ∑ y ) ( ∑ x 2 ) − ( ∑ x ) ( ∑ x y ) n ( ∑ x 2 ) − ( ∑ x ) 2 .