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Case Study In order to fit a regression line Y = a + bX by the method of least square to the following sample information,

Case Study
In order to fit a regression line Y=a+bX by the method of least square to the following sample information, answer the questions associated
Observations Income (X)('00 Rs) Consumption Expenditure (Y)('00 Rs)
14144
26560
35039
45751
59680
69468
711084
83034
97955
106548
Question 1: After solving the normal equations, the value of "a" comes out to be ______
Question 2: After solving the normal equations, the value of "b" comes out to be ______
Question 3: As per the regression line equation, the slope of the line is represented by ______ value
Question 4: As per the regression line equation, the y intercept of the line is represented by ______ value
Question 5: The difference between the values of ?X and ?Y is ______
Question 6: The regression equation found by least square method (y = a +bx) can be called as regression line ________
Question 7: he value of ?XY =_________
Question 8: Which amongst the following is not a normal equation?
Question 9: Which amongst the following is not a normal equation?
Select one:
a.
?xy=a?x+b?x^2
b.
?xy-a?x=b?x^2
c.
?xy-?x^2=a?x/b
d.
?xy-b?x^2=a?x
Clear my choice
Question 10
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Question text
Which amongst the following is not required to find, in order to fit a regression line?
Select one:
a.
?XY
b.
?X^2
c.
?Y^2
d.
?XY^2
Which amongst the following is not a normal equation?
Question 10:

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