F.Y B.COM
SEMESTER - 2
BUSINESS STATISTICS
(BS)
MCQS = 2020-21
1. The correlation coefficient between X and Y is 0.8, then ________
(a) there is high degree of positive correlation
(b) 36% variation is not explained by independent variable in dependent variable
(c) 64% variation is explained by independent variable in dependent variable
(d) all of the above
2. In semi-average method, if number of observations are odd then neglect ________ observation while calculating average.
(a) last
(b) first
(c) middle most
(d) any one
3. In moving average method we can not find trend values of some ________ .
(a) starting periods
(b) end periods
(c) between periods
(d) starting and end periods
4. If the points on the Scatter diagram show tendency of increase togerther then the value of r will be ________ .
(a) positive
(b) negative
(c) 0
(d) none
5. The independent variable is also called ________ .
(a) Regressor
(b) Predictor
(c) Explanatory
(d) All of them
6. If the two variables are ________ then correlation coefficient is always zero.
(a) Independent
(b) equal
(c) Dependent
(d) none of the above
7. Time series data have total number of ________ components.
(a) 1
(b) 2
(c) 3
(d) 4
8. The correlation coefficient is greater than ________ of two regression coefficients.
(a) harmonic mean
(b) geometric mean
(c) arithmetic mean
(d) none of them
9. Which of the following is not present in a time series ?
(a) seasonality
(b) operational variations
(c) trend
(d) cycles
10. If byx > 1, then bxy will be ________ .
(a) more than zero
(b) less than one
(c) one
(d) less than zero
11. Correlation coefficient between X and Y is 0.5, then the correlation between 2X - 4 and 3 + 2Y is ________ .
(a) 1
(b) - 0.5
(c) 0.5
(d) - 1
12. A time series is a set of data recorded ________ .
(a) at successive points of time
(b) periodically
(c) at time or space interval
(d) all the above
13. ________ variations in a time series are caused by sale of ice cream during summer.
(a) seasonal
(b) Irregular
(c) Secular
(d) Cyclic
14. If bxy = 0.30 and r = 0.60 then byx = ________ .
(a) 0.20
(b) 0.25
(c) 1.20
(d) 0.5
15. If X is measured in Hours and Y is measured in Minutes, then correlation coefficient has the ________ as unit.
(a) Minutes
(b) Hours
(c) Both (a) and (b)
(d) No unit
16. The method of ________ indicates that we choose the regression line where the sum of the square of deviations of the points from the line is minimum.
(a) simple average
(b) moving average
(c) semi average
(d) least square
17. Trend in a time series means ________ .
(a) long term regular movement
(b) short term regular movement
(c) both (a) and (b)
(d) neither (a) nor (b)
18. ________ in a time series are caused by floods, lockouts and strikes.
(a) Seasonal variations
(b) Secular trend
(c) Cyclical variations
(d) Irregular variations
19. The Y = - 0.9X and X = - 0.4Yn are regression equations of Y on X and X on Y respectively, then r is equal to ________ .
(a) 0.36
(b) - 0.36
(c) 0.6
(d) - 0.6
20. In time series if Y = 55 - 2.6x, where origin is year 2000 then estimate for the year 2005 is ________ .
(a) 55
(b) 42
(c) 68
(d) none
21. Coefficient of correlation between two variables X and Y is 0.8 and their covariance is 20. If the variance of X is 25, the standard deviation of Y is _______.
(a) 5
(b) 1
(c) - 5
(d) - 1
22. If two variables have perfect negative correlation then value of r is ________ .
(a) - 1
(b) 0
(c) + 1
(d) None
23. According to additive model of time series short term fluctuations are ________ .
(a) Observed (Y) + Expected (Y)
(b) Expected (Y) - Observed (Y)
(c) Observed (Y) - Expected (Y)
(d) Expected (Y) * Observed (Y)
24. ________ is used to study relationship between the height and weight of a person.
(a) Correlation
(b) Association
(c) Regression
(d) Qualitative
25. Business Cycles are the best example of ________ .
(a) Seasonal variation
(b) Cyclical variation
(c) Secular trend
(d) Both (a) and (b)
26. The method of ratio to moving average is used to find the ________ .
(a) Seasonal variations
(b) Irregular variations
(c) Secular trend
(d) Cyclical variations
27. Correlation coefficient is independent of change of ________ .
(a) origin
(b) scale
(c) both origin and scale
(d) neither origin nor scale
28. If the two lines of regression are X + 2Y - 5 = 0 and 2X + 3Y - 8 = 0, the means of X and Y are ________ .
(a) - 3, 4
(b) 2, 4
(c) 1, 2
(d) 0, 2
29. The regression coefficient of Y on x is 1.2, if U = 2X - 100 and V = 3Y - 200 then bvu is ________ .
(a) 1.8
(b) 0.8
(c) 3.6
(d) 2.4
30. Linear trend of time series indicates towards ________ .
(a) constant rate of growth
(b) constant rate of change
(c) change in geometric progression
(d) all the above
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