Question: 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 YabX by the method of least square to the following sample information, answer the questions associated
Observations Income X Rs Consumption Expenditure Y Rs
Question : After solving the normal equations, the value of a comes out to be
Question : After solving the normal equations, the value of b comes out to be
Question : As per the regression line equation, the slope of the line is represented by value
Question : As per the regression line equation, the y intercept of the line is represented by value
Question : The difference between the values of X and Y is
Question : The regression equation found by least square method y a bx can be called as regression line
Question : he value of XY
Question : Which amongst the following is not a normal equation?
Question : Which amongst the following is not a normal equation?
Select one:
a
xyaxbx
b
xyaxbx
c
xyxaxb
d
xybxax
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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
c
Y
d
XY
Which amongst the following is not a normal equation?
Question :
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