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Free download in PDF Correlation and Regression Objective Type Questions and Answers for competitive exams. These short objective type questions with answers are very important for Board exams as well as competitive exams. These short solved questions or quizzes are provided by Gkseries.
21
A measure of the strength of the linear relationship that exists between two variables is called:
A
Slope
B
Intercept
C
Correlation coefficient
D
Regression equation
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Answer: Correlation coefficient
22
If all the actual and estimated values of Y are same on the regression line, the sum of squares of error will be:
A
Zero
B
Maximum
C
Minimum
D
Unknown
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23
The sum of the difference between the actual values of Y and its values obtained from the fitted regression line is always:
A
Zero
B
Positive
C
Negative
D
Minimum
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24
The purpose of simple linear regression analysis is to:
A
Predict one variable from another variable
B
Replace points on a scatter diagram by a straight-line
C
Measure the degree to which two variables are linearly associated
D
Obtain the expected value of the independent random variable for a given value of the dependent variable
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Answer: Predict one variable from another variable
25
Regression coefficient is independent of:
A
Units of measurement
B
Scale and origin
C
Both (a) and (b)
D
None of these
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26
It is possible that two regression coefficients have:
A
Opposite signs
B
Same signs
C
No sign
D
Difficult to tell
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27
When two regression coefficients bear same algebraic signs, then correlation coefficient is:
A
Positive
B
Negative
C
According to two signs
D
Zero
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Answer: According to two signs
28
The correlation coefficient is the_______of two regression coefficients:
A
Geometric mean
B
Arithmetic mean
C
Harmonic mean
D
Median
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29
When bXY is positive, then byx will be:
A
Negative
B
Positive
C
Zero
D
One
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30
When regression line passes through the origin, then:
A
Intercept is zero
B
Regression coefficient is zero
C
Correlation is zero
D
Association is
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Answer: Intercept is zero
31
The graphrepresents the relationship that is.:
A
Linear positive
B
Linear negative
C
Non-linear
D
Curvilinear
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32
The graph represents the relationship that is:
A
Linear
B
Non linear
C
Curvilinear
D
No relation
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33
The graph showing the paired points of (Xi, Yi) is called:
A
Scatter diagram
B
Histogram
C
Historigram
D
Pie diagram
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34
The independent variable in a regression line is:
A
Non-random variable
B
Random variable
C
Qualitative variable
D
None of the above
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Answer: Non-random variable
35
In the regression equation Y = a +bX, a is called:
A
X-intercept
B
Y-intercept
C
Dependent variable
D
None of the above
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36
In the regression equation X = a + bY, the X is called:
A
Independent variable
B
Dependent variable
C
Qualitative variable
D
None of the above
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Answer: Dependent variable
37
In the regression equation Y = a+bX, the Y is called:
A
Independent variable
B
Dependent variable
C
Continuous variable
D
None of the above
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Answer: Dependent variable
38
When the ratio of variations in the related variables is constant, it is called:
A
Linear correlation
B
Nonlinear correlation
C
Positive correlation
D
Negative correlation
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Answer: Linear correlation
39
If both variables X and Y increase or decrease simultaneously, then the coefficient of correlation will be:
A
Positive
B
Negative
C
Zero
D
One
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40
If the points on the scatter diagram indicate that as one variable increases the other variable tends to decrease the value of r will be:
A
Perfect positive
B
Perfect negative
C
Negative
D
Zero
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