F.Y B.COM
SEMESTER - 2
BUSINESS STATISTICS
(BS)
MCQS = 2016 - 17
1. The unit of measurement of correlation coefficient between height and weight will be _______.
(a) Inches
(b) Kilogram
(c) Both (a) and (b)
(d) None
2. The value of coefficient of correlation r lies between _______.
(a) 0 and 1
(b) - 1 and 0
(c) - 1 and + 1
(d) - 0.5 and + 0.5
3. The signs of two regression coefficients and their correlation coefficient are always _______.
(a) Different
(b) Same
(c) Positive
(d) Negative
4. Gradual, Long - Term movement in time series data is called _______.
(a) Seasonal Variation
(b) Cycles
(c) Trend
(d) Exponential Variation
5. Which of the following is not present in a time series ?
(a) Seasonality
(b) Operational Variations
(c) Trend
(d) Cycle
6. A time series is a set of data recorded _______.
(a) periodically
(b) at time or space interval
(c) at successive points of time
(d) all the above
7. A time series consists of _______ components.
(a) two
(b) three
(c) four
(d) five
8. The component of a time series which is attached to short - term fluctuations is _______.
(a) Seasonal Variation
(b) Cyclical Variation
(c) Secular trend
(d) None
9. A lock-out in factory for a month belongs to _______ component of time series.
(a) Irregular variation
(b) Secular trend
(c) Cyclical variation
(d) None
10. The sales of departmental store on Dushera and Diwali are associated with the component of a time series _______ variation.
(a) Trend
(b) Seasonal
(c) Irregular
(d) Cyclical
11. The consistent increase in production of cereals constitutes the component of time series _______.
(a) Seasonal Variation
(b) Cyclical Variation
(c) Secular Trend
(d) None
12. Secular trend is indicative of long - term variation towards _______.
(a) Increase only
(b) Decrease only
(c) Either increase or decrease
(d) None
13. The most commonly used mathematical method for measuring trend is _______ method.
(a) Simple Average
(b) Semi Average
(c) Moving Average
(d) Least Square
14. Irregular variations in a time series are caused by _______.
(a) Lockouts and strikes
(b) Epidemics
(c) Floods
(d) All the above
15. In semi average method, if the number of observation is odd then we drop _______ observation.
(a) First
(b) Last
(c) Middle
(d) None
16. Least Square method to estimate trend line in time series consists of estimating _______ constants.
(a) Zero
(b) Two
(c) Less than two
(d) More than two
17. Simple average method is used to eliminate effect of _______ .
(a) Seasonal Variation
(b) Cyclical Variation
(c) Secular Trend
(d) None
18. Most frequently used mathematical model of time series is _______ model.
(a) Additive
(b) Multiplicative
(c) Mixed
(d) Regression
19. A relationship where the flow of the data points is best represented by straight line is called _______ relationship.
(a) Linear
(b) Nonlinear
(c) Exponential
(d) Geometric
20. The method of least squares indicates that we choose a regression line where the sum of the square of deviations of the points from the line is _______ .
(a) Maximum
(b) Minimum
(c) Zero
(d) Positive
21. The value we would predict for the dependent variable when the independent variables are all equal to zero is called _______ .
(a) Slope
(b) Sum of residual
(c) Intercept
(d) None
22. If bxy = - 2 and rxy = - 1 then byx is equal to _______ .
(a) - 1
(b) - 2
(c) 0.5
(d) - 0.5
23. If the value of any regression coefficient is zero, then two variables are _______
(a) Qualitative
(b) Correlation
(c) Dependent
(d) Independent
24. If rxy = 1, then _______ .
(a) byx = bxy
(b) byx < bxy
(c) byx > bxy
(d) byx • bxy = 1
25. _______ is used to estimate the height of person when his weight is given.
(a) Correlation
(b) Association
(c) Regression
(d) Qualitative
26. The independent variable is also called _______ .
(a) Regressor
(b) Regress
(c) Predict
(d) Estimated
27. The correlation coefficient is the _______ of two regression coefrficients.
(a) Geometric mean
(b) Arithmetic mean
(c) Harmonic mean
(d) Median
28. Regression coefficient is independent of change of _______ .
(a) Origin
(b) Scale
(c) Both (a) and (b)
(d) None
29. If rxy = 0.75, then correlation coefficient between u = 1.5X and v = - 2Y is _______
(a) 0
(b) 0.75
(c) - 0.75
(d) 1.5
30. 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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