In the regression model ( y = a + bx) where x̅ = 2.50, y̅ = 5.50 and a = 1.50 (x̅ and y̅ denote mean of variables x and y and a is a constant), which one of the following values of parameter 'b' of the model is correct?
In the regression model ( y = a + bx) where x̅ = 2.50, y̅ = 5.50 and a = 1.50 (x̅ and y̅ denote mean of variables x and y and a is a constant), which one of the following values of parameter 'b' of the model is correct? Correct Answer 1.60
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.
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