Key Points Linear regression model: Linear regression is a way to model the relationship between two variables. You might also recognize the equation as the slope formula. The equation has the form Y= a + bX, where Y is the dependent variable (that’s the variable that goes on the Y-axis), X is the independent variable (i.e. it is plotted on the X-axis), b is the slope of the line and a is the y-intercept. [ alt="F1 Lalita V Anil 25.03.21 D6" src="//storage.googleapis.com/tb-img/production/21/03/F1_Lalita%20V_Anil_25.03.21_D6.png" style="width: 203px; height: 128px;"> [ alt="F1 Lalita V Anil 25.03.21 D7" src="//storage.googleapis.com/tb-img/production/21/03/F1_Lalita%20V_Anil_25.03.21_D7.png" style="width: 389px; height: 184px;"> Calculation: ( y = a + bx) where, x̅ = 2.50 y̅ = 5.50 a = 1.50 (x̅ and y̅ denote mean of variables x and y and a is a constant) Putting values in the formula: 5.50 = 1.50 + b*2.50 b*2.50 = 4 b = 4/2.5 = 1.60 Therefore, 'B' is the correct answer.