Linear regression is a statistical method for modeling the relationship between a dependent variable and one or more independent variables by fitting a linear equation. Implementing linear regression in Python involves using libraries like scikit-learn and statsmodels to fit models and make predictions. ...
Linear equations in one variable is an equation having a maximum of one variable. Learn the definition, solutions, word problems, questions and formula only at BYJU'S.
The optimisation equation (z) = 5x + 3y. You have to find the (x,y) corner points that give the largest and smallest values of z. To begin with, first solve each inequality. x + 2y ≤ 14 ⇒y ≤ -(1/2)x + 7 3x – y ≥ 0 ⇒y ≤ 3x ...
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Thus, the second equation is:2x+3y=7(Equation 2) Step 4: Verify the uniqueness of the solutionTo ensure that the equations have a unique solution, we check the condition:a1a2≠b1b2Calculating this:32≠53Since the ratios are not equal, the equations have a unique solution. Step 5: ...
Thus, its equation is y=-1/4x+4. Since the shaded region is below this line, the inequality is y≤–1/4x+4.In summary, our system of linear inequalities is x≤5 and y≥–1/2x+4 and y≤–1/4x+4. Part B Now, we are given an objective function P=3x+2y to maximize. That ...
The optimisation equation (z) = 5x + 3y. You have to find the (x,y) corner points that give the largest and smallest values of z. To begin with, first solve each inequality. x + 2y ≤ 14 ⇒ y ≤ -(1/2)x + 7 3x – y ≥ 0 ⇒ y ≤ 3x ...
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