Deck 2: Correlation and Regression Analysis
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Deck 2: Correlation and Regression Analysis
1
Coefficient of correlation explains .................... of the relationship between two variables.
A)Degree
B)Direction
C)Both of the above
D)None of the above
A)Degree
B)Direction
C)Both of the above
D)None of the above
Both of the above
2
For perfect correlation, the coefficient of correlation should be ..........................
A)± 1
B)+ 1
C)- 1
D)0
A)± 1
B)+ 1
C)- 1
D)0
± 1
3
The rank correlation coefficient is always............................
A)+ 1
B)- 1
C)0
D)Between + 1 and - 1
A)+ 1
B)- 1
C)0
D)Between + 1 and - 1
Between + 1 and - 1
4
Spearman's Rank Correlation Coefficient is usually denoted by....................
A)K
B)r
C)S
D)R
A)K
B)r
C)S
D)R
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5
Probable error is used to:
A)Test the reliability of correlation coefficient
B)Measure the error in correlation coefficient
C)Both a an b
D)None of these
A)Test the reliability of correlation coefficient
B)Measure the error in correlation coefficient
C)Both a an b
D)None of these
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6
If coefficient of correlation is more than ................of its P E, correlation is significant.
A)2 times
B)5 times
C)6 times
D)10 times
A)2 times
B)5 times
C)6 times
D)10 times
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7
In correlation analysis, Probable Error = ........................ x 0.6745
A)Standard deviation
B)Standard error
C)Coefficient of correlation
D)None of these
A)Standard deviation
B)Standard error
C)Coefficient of correlation
D)None of these
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8
Coefficient of concurrent deviation depends on .......................
A)The signs of the deviations
B)The magnitude of the deviations
C)Bothe a and b
D)None of these
A)The signs of the deviations
B)The magnitude of the deviations
C)Bothe a and b
D)None of these
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9
Correlation analysis between two sets of data only is called....................
A)Partial correlation
B)Multiple correlation
C)Nonsense correlation
D)Simple correlation
A)Partial correlation
B)Multiple correlation
C)Nonsense correlation
D)Simple correlation
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10
Correlation analysis between one dependent variable with one independent variable by keeping the other independent variables as constant is called......................
A)Partial correlation
B)Multiple correlation
C)Nonsense correlation
D)Simple correlation
A)Partial correlation
B)Multiple correlation
C)Nonsense correlation
D)Simple correlation
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11
Study of correlation among three or more variables simultaneously is called.............
A)Partial correlation
B)Multiple correlation
C)Nonsense correlation
D)Simple correlation
A)Partial correlation
B)Multiple correlation
C)Nonsense correlation
D)Simple correlation
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12
If r = 0.8, coefficient of determination is.....................................
A)80%
B)8%
C)64%
D)0.8%
A)80%
B)8%
C)64%
D)0.8%
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13
The term regression was first used by..........................
A)Karl Pearson
B)Spearman
C)R A Fisher
D)Francis Galton
A)Karl Pearson
B)Spearman
C)R A Fisher
D)Francis Galton
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14
....................refers to analysis of average relationship between two variables to provide mechanism for prediction.
A)Correlation
B)Regression
C)Standard error
D)None of these
A)Correlation
B)Regression
C)Standard error
D)None of these
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15
If there are two variables, there can be at most ........................ number of regression lines.
A)One
B)Two
C)Three
D)Infinite
A)One
B)Two
C)Three
D)Infinite
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16
Regression line is also called.................................
A)Estimating equation
B)Prediction equation
C)Line of average relationship
D)All the above
A)Estimating equation
B)Prediction equation
C)Line of average relationship
D)All the above
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17
The point of intersection of two regression lines is..........................
A)(0,0)
B)(1,1)
C)(x,y)
D)(x? , ?)
A)(0,0)
B)(1,1)
C)(x,y)
D)(x? , ?)
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