RPSC Statistical Officer — Question Paper

1. 1.
   Q1 in paper

   Statistical methods are used in the following fields

   1. Aexact science
   2. Bsocio-economic fields
   3. Cbiology
   4. Devery field of science and knowledge
2. 2.
   Descriptive StatisticsData Collection, Classification, Tabulation & Diagrammatic PresentationQ2 in paper

   Which of the following statements is true of cumulative frequency ogives for a particular set of data ?

   1. Aboth more than and less than curves have the same slope
   2. Bmore than curves slope up and to the right
   3. Cless than curves slope down and to the right
   4. Dless than curves slope up and to the right
3. 3.
   Descriptive StatisticsMeasures of Central TendencyQ3 in paper

   When calculating the average rate of debt expansion for a company, the correct mean to be used is

   1. Aarithmetic mean
   2. Bweighted mean
   3. Cgeometric mean
   4. D(1) and (3) both
4. 4.
   Probability & DistributionsMathematical ExpectationQ4 in paper

   With usual notations if u = 5x+20, T= 100 and $2 = 40, what are the mean and variance of x ?

   1. A16, 1.6
   2. B16, 16
   3. C1.6, 16
   4. D1.6, 1.6
5. 5.
   Descriptive StatisticsMoments, Skewness & KurtosisQ5 in paper

   B and B2 are independent of

   1. Achange of origin and scale
   2. Bchange of origin
   3. Cchange of scale
   4. Dnone of these
6. 6.
   Correlation & RegressionSimple, Rank, Multiple & Partial CorrelationQ6 in paper

   If correlation coefficient between X and Y is negative then the correlation between -X and Y is

   1. Apositive
   2. Bnegative
   3. Czero
   4. Dpositive for qualitative and negative for quantitative observations
7. 7.
   Correlation & RegressionLinear Regression & Regression CoefficientsQ7 in paper

   Suppose the estimating equation Y = 5-2X has been calculated for a set of the data. Which of the following is true for this situation ?

   1. Athe Y intercept of the line is 2
   2. Bthe slope of the line is negative
   3. Cthe line represent an inverse relationship
   4. D(2) and (3), not (1)
8. 8.
   Correlation & RegressionLinear Regression & Regression CoefficientsQ8 in paper

   With usual notations if X = 5, Y = 7, rxy = 0.4, ox = 2 and oy = 3, the regression equation Y on X is

   1. AX = 0.6Y +4
   2. BY = 0.27X +5.65
   3. CY = 0.6X +4
   4. DX = 0.27Y +5.65
9. 9.
   Correlation & RegressionSimple, Rank, Multiple & Partial CorrelationQ9 in paper

   The sum of squares of difference of rank for two variables is 33 and coefficient of rank correlation is 0.8. Find the number of pairs of observations (n).

   1. A8
   2. B9
   3. C10
   4. D11
10. 10.
    Correlation & RegressionSimple, Rank, Multiple & Partial CorrelationQ10 in paper

    The technique of examining a relation between any two variables while controlling the effects of a third variable in a correlation study is termed

    1. Apartial correlation
    2. Bmultiple correlation
    3. Csquared multiple correlation
    4. Drank correlation
11. 11.
    Correlation & RegressionSimple, Rank, Multiple & Partial CorrelationQ11 in paper

    The multiple correlation coefficient R1.23 as compared to any simple correlation coefficients between the variables X1, X2 and X3 is

    1. Aless than any r12, r13, r23
    2. Bnot less than any r12, r13, r23
    3. Calways equal to sum of r12+r13+r23
    4. Dalways equal to of product of r12,r13,r23
12. 12.
    Probability & DistributionsProbability Theory, Bayes Theorem & Random VariablesQ12 in paper

    Marginal probability is symbolically expressed as

    1. AP(AB)
    2. BP(B/A)
    3. CP(A/B)
    4. Dnone of these
13. 13.
    Probability & DistributionsProbability Theory, Bayes Theorem & Random VariablesQ13 in paper

    If A and B are two events such that P(A∪B)= 5/6, P(A∩B)=1/3, P(A)=1/3, then the events are

    1. Adependent
    2. Bindependent
    3. Cmutually exclusive
    4. Dnone of these
14. 14.
    Probability & DistributionsProbability Theory, Bayes Theorem & Random VariablesQ14 in paper

    If A and B are two independent events then P(AUB) equals to

    1. AP(A).P(B)+P(B)
    2. BP(A).P(B)+P(B)
    3. CP(A).P(B)+P(A)
    4. DP(A)+P(B)
15. 15.
    Probability & DistributionsProbability Theory, Bayes Theorem & Random VariablesQ15 in paper

    The probability of occurrence of an event A is 0.60 and that of B is 0.25. If A and B are mutually exclusive events then the probability of neither of them will occur is

    1. A0.35
    2. B0.75
    3. C0.15
    4. D0.85
16. 16.
    Probability & DistributionsMathematical ExpectationQ16 in paper

    There are 2 white and 4 black balls in a box. A person takes 3 balls at random from the box. If he receives Rs. 10 for each white ball and Rs. 5 for each black ball. What will be expected value of the amount received by him ?

    1. ARs. 5
    2. BRs. 10
    3. CRs. 20
    4. DRs. 22
17. 17.
    Probability & DistributionsDiscrete Probability DistributionsQ17 in paper

    Binomial distribution will be positively skewed when

    1. Ap>1/2
    2. Bp<1/2
    3. Cp = 1/2
    4. Dp = 0
18. 18.
    Probability & DistributionsDiscrete Probability DistributionsQ18 in paper

    For a binomial variate n = 10 and P(X = 5) = 2P (X = 4) then what will be the value p?

    1. A2/8
    2. B3/8
    3. C4/8
    4. D5/8
19. 19.
    Descriptive StatisticsMeasures of DispersionQ21 in paper

    For a normal distribution quartile deviation, mean deviation and standard deviation are in the ratio

    1. A4:2:1
    2. B2:3:4
    3. C1:2:4
    4. D2:1:3
20. 20.
    Probability & DistributionsContinuous Distributions & Central Limit TheoremQ22 in paper

    In a normal distribution area to the right of the point x, is 0.6 and to the left of the point x, is 0.7. Which of the following is correct ?

    1. Ax1>x2
    2. Bx1<x2
    3. Cx1 = x2
    4. D(1) and (3) both
21. 21.
    Probability & DistributionsSampling Distributions (Chi-square, t, F)Q23 in paper

    The characteristic function of chi-square distribution is

    1. A(1-2it)1/2
    2. B(1-2it)-1/2
    3. C(1+2it)1/2
    4. D(1+2it)-1/2
22. 22.
    Probability & DistributionsSampling Distributions (Chi-square, t, F)Q24 in paper

    The relationship between Student's t and F distribution is

    1. At(1,n)=√n
    2. Bt(n,1)=√n
    3. Ct(1,n)=1/√n
    4. Dt(n,1)=1/√n
23. 23.
    Probability & DistributionsSampling Distributions (Chi-square, t, F)Q25 in paper

    If X has a F-distribution with (m1,m2) degrees of freedom then the statistic (1+(m1/m2)X)-1 has a.....

    1. At-distribution
    2. BF-distribution
    3. Cβ-distribution
    4. Dnormal distribution
24. 24.
    Probability & DistributionsSampling Distributions (Chi-square, t, F)Q26 in paper

    Which of the following condition is a necessary for using a t-distribution table? (i) n is small (ii) o is not known (iii) parent distribution is normal, choose the correct answer :

    1. A(i) and (ii)
    2. B(i) and (iii)
    3. C(ii) and (iii)
    4. D(i), (ii) and (iii)
25. 25.
    Statistical InferenceTheory of Estimation & Properties of EstimatorsQ27 in paper

    We are estimating a population variance by estimator s2 = Σ(x;-x)²/n then which of the following is true for estimator s2 ?

    1. Abiased
    2. Bconsistent
    3. Csufficient
    4. Dall the above
26. 26.
    Statistical InferenceTheory of Estimation & Properties of EstimatorsQ28 in paper

    Let 0 be an unknown parameter and T₁ be an unbiased estimator of 0, V(T₁)≤V(T₂), for T₂ be any other unbiased estimator of 0, then T₁ is known as

    1. Aminimum variance unbiased estimator
    2. Bunbiased and efficient estimator
    3. Cconsistent and efficient estimator
    4. Dunbiased and consistent estimator
27. 27.
    Statistical InferenceMethods of Estimation & Cramer-Rao InequalityQ29 in paper

    The maximum likelihood estimators which are obtained by maximising the function of joint density of random variables, are generally

    1. Aunbiased and inconsistent
    2. Bunbiased and consistent
    3. Cconsistent and invariant
    4. Dunbiased and invariant
28. 28.
    Statistical InferenceTesting of Hypothesis (Parametric)Q30 in paper

    A null hypothesis is (i) hypothesis of zero difference (ii) hypothesis under test for possible rejection (iii) always a simple hypothesis. Choose the correct answer:

    1. A(i) and (ii)
    2. B(i) and (iii)
    3. C(ii) and (iii)
    4. D(i), (ii) and (iii)
29. 29.
    Statistical InferenceTesting of Hypothesis (Parametric)Q31 in paper

    Which of the following is a case of Type II error ? (1) the null hypothesis is true and rejected (2) the null hypothesis is false and accepted (3) the null hypothesis is true and accepted (4) the null hypothesis is false and rejected

    1. Athe null hypothesis is true and rejected
    2. Bthe null hypothesis is false and accepted
    3. Cthe null hypothesis is true and accepted
    4. Dthe null hypothesis is false and rejected
30. 30.
    Statistical InferenceTesting of Hypothesis (Parametric)Q32 in paper

    If we want to compare proportions, when samples are small, then the test is based on

    1. AF-distribution
    2. Bbinomial distribution
    3. Ct-distribution
    4. Dnone of these
31. 31.
    Statistical InferenceTheory of Estimation & Properties of EstimatorsQ33 in paper

    A random sample of size 100 has mean 15, the population variance being 25. Then 95% confidence interval for mean is

    1. A(13.71, 16.29)
    2. B(14.02, 15.98)
    3. C(13.71, 14.02)
    4. D(13.71, 15.98)
32. 32.
    Statistical InferenceTesting of Hypothesis (Parametric)Q35 in paper

    Neyman Pearson lemma provides most powerful test for testing

    1. Asimple null hypothesis vs simple alternative
    2. Bcomposite null hypothesis vs simple alternative
    3. Csimple null hypothesis vs composite alternative
    4. Dcomposite null hypothesis vs composite alternative
33. 33.
    Probability & DistributionsMultivariate AnalysisQ36 in paper

    The distance between two populations can be measured by

    1. AMahalanobis D²
    2. BWishart distribution
    3. Cmultivariate normal distribution
    4. Danalysis of co-variance
34. 34.
    Probability & DistributionsMultivariate AnalysisQ37 in paper

    Hotelling T² has the following distribution

    1. AChi-square distribution
    2. BNormal distribution
    3. CF-distribution
    4. DBinomial distribution
35. 35.
    Probability & DistributionsMultivariate AnalysisQ38 in paper

    Which of the following are aspects of discriminant function analysis ?

    1. AEigen values
    2. BWilks' Lamda
    3. CCanonical correlation
    4. Dall the above
36. 36.
    Statistical InferenceNon-Parametric TestsQ39 in paper

    Most of non parametric methods utilise measurements on

    1. Ainterval scale
    2. Bratio estimate
    3. Cordinal scale
    4. Dnominal scale
37. 37.
    Statistical InferenceNon-Parametric TestsQ40 in paper

    Which of the following test is analogous to chi-square test of goodness of fit ?

    1. Amedian test
    2. BKolmogrove-Simirnov test
    3. Csign test
    4. Drun test
38. 38.
    Statistical InferenceNon-Parametric TestsQ41 in paper

    Wald-Wolfowitz run test for two samples is affected when the ties occur

    1. Awithin sample
    2. Bbetween sample
    3. Cneither between nor within
    4. Deither within or between
39. 39.
    Statistical InferenceNon-Parametric TestsQ42 in paper

    In a given situation where both parametric tests and non parametric tests are applicable, which of the following is true ?

    1. Anon parametric tests are always more efficient than parametric tests
    2. Bnon parametric tests are always less efficient than parametric tests
    3. Cnon parametric tests can be more efficient than parametric tests
    4. Dnon parametric tests can be used only when n is large
40. 40.
    Sampling & Design of ExperimentsSampling Concepts & ErrorsQ43 in paper

    Sampling frame is

    1. Amethod of drawing sample
    2. Blist of units of sample
    3. Clist of units of population
    4. Dlist of questions
41. 41.
    Sampling & Design of ExperimentsSampling Methods & Estimation TechniquesQ44 in paper

    If the probability of selecting a unit from the population is not known in advance then the resultant sampling scheme will be

    1. Asimple random sampling
    2. Bstratified sampling
    3. Cpurposing sampling
    4. Dsystematic sampling
42. 42.
    Sampling & Design of ExperimentsSampling Concepts & ErrorsQ45 in paper

    The most important factor in determining the size of a sample is

    1. Apopulation size
    2. Blevel of significance and permissible error
    3. Cheterogeneity of population
    4. Dall the above
43. 43.
    Sampling & Design of ExperimentsSampling Methods & Estimation TechniquesQ46 in paper

    A systematic sampling does not give good results if

    1. Avariation in units is periodic
    2. Bunits at regular intervals are correlated
    3. Cboth (1) and (2)
    4. Dnone of (1) and (2)
44. 44.
    Sampling & Design of ExperimentsSampling Methods & Estimation TechniquesQ47 in paper

    With usual notation in stratified sampling the estimate of the variance of under proportion allocation is

    1. AV(Xst) = (N-n)/N * Σ(wi² Si²/ni)
    2. BV(Xst) = (1-n/N) * Σ(wi² Si²/ni)
    3. CV(Xst) = (1-n/N) * Σ(wi Si²/ni)
    4. DV(Xst) = (1-n/N) * Σ(wi² Si²/ni)
45. 45.
    Sampling & Design of ExperimentsSampling Methods & Estimation TechniquesQ48 in paper

    If p is the inter class correlation, then cluster sampling will be more efficient than simple random sampling if

    1. Ap<0
    2. B0<p<1
    3. Cp = 1
    4. Dnone of these
46. 46.
    Sampling & Design of ExperimentsSampling Concepts & ErrorsQ49 in paper

    Non response in sample survey means

    1. Anon availability of respondents
    2. Bnon return of questionnaire
    3. Crefusal to give information by the respondent
    4. Dall the above
47. 47.
    Sampling & Design of ExperimentsSampling Concepts & ErrorsQ50 in paper

    There are more chances of non sampling errors than sampling errors in case of

    1. Astudies of large samples
    2. Bcomplete enumeration
    3. Cinefficient investigators
    4. Dall the above
48. 48.
    Sampling & Design of ExperimentsSampling Methods & Estimation TechniquesQ51 in paper

    The allocation providing smallest variance of estimator in stratified sampling is

    1. Aequal allocation
    2. Bproportion allocation
    3. Coptimum allocation
    4. Darbitrary allocation
49. 49.
    Sampling & Design of ExperimentsSampling Methods & Estimation TechniquesQ52 in paper

    In simple random sampling without replacement, the sampling variance of the regression estimator is

    1. AV(ŷr) = (1-f)/n . Sxy (1-p²)
    2. BV(ŷr) = (1+f)/n . Sxy (1-p²)
    3. CV(ŷr) = (1-f)/n . Sxy (1+p²)
    4. DV(ŷr) = (1-f)/n . Sxy (1-p²)
50. 50.
    Sampling & Design of ExperimentsSampling Methods & Estimation TechniquesQ53 in paper

    In case data on auxiliary variate for individual units are not available but only the aggregate value for all units of auxiliary variate is available, the sampling scheme which can be used for estimation of the parameter under study is

    1. Aratio method of estimation
    2. Bregression method of estimation
    3. Cboth (1) and (2)
    4. Dneither (1) and (2)
51. 51.
    Sampling & Design of ExperimentsAnalysis of Variance (ANOVA)Q54 in paper

    The underlying principles invented in ANOVA

    1. Aparent population is normal
    2. Berrors are homoscedastic
    3. Ceffects are additive in nature
    4. Dall the above
52. 52.
    Sampling & Design of ExperimentsDesign of Experiments (CRD, RBD, LSD, Factorial)Q55 in paper

    Which of the following is must for any design of experiment ?

    1. Arandomisation and replication
    2. Brandomisation, replication and local control
    3. Crandomisation and local control
    4. Dreplication and local control
53. 53.
    Sampling & Design of ExperimentsDesign of Experiments (CRD, RBD, LSD, Factorial)Q56 in paper

    A Latin square design is applicable when the fertility variations are in

    1. Aone direction
    2. Btwo directions
    3. Cthree directions
    4. Dzero fertility variation
54. 54.
    Sampling & Design of ExperimentsDesign of Experiments (CRD, RBD, LSD, Factorial)Q57 in paper

    An experimental design is

    1. Aa map
    2. Ba plan of experiment
    3. Can architect
    4. Dall the above
55. 55.
    Sampling & Design of ExperimentsDesign of Experiments (CRD, RBD, LSD, Factorial)Q58 in paper

    Randomization is a process which enables the experiment to

    1. Aapply mathematical theories
    2. Bmake probability statement
    3. Ctreat errors independent
    4. Dall the above
56. 56.
    Sampling & Design of ExperimentsDesign of Experiments (CRD, RBD, LSD, Factorial)Q59 in paper

    Split plot design is a sort of

    1. Aconfounded design
    2. Bpartially nested design
    3. Cboth (1) and (2)
    4. Dneither (1) nor (2)
57. 57.
    Sampling & Design of ExperimentsDesign of Experiments (CRD, RBD, LSD, Factorial)Q60 in paper

    Confounding in asymmetrical factorials is carried out with the help of

    1. Acontrasts
    2. Bmodulo technique
    3. Cgraphics
    4. Dall the above
58. 58.
    Applied StatisticsTime Series AnalysisQ63 in paper

    Seasonal variation caused by

    1. Agrowth of population
    2. Bbusiness cycle
    3. Ctechnological improvement
    4. Dclimate, customs and traditions
59. 59.
    Applied StatisticsTime Series AnalysisQ64 in paper

    In case of multiplicative model of time series, the sum of seasonal indices is

    1. A100 times the number of season
    2. Bzero
    3. C100
    4. DΣ(0;-;)le;
60. 60.
    Applied StatisticsTime Series AnalysisQ65 in paper

    Link relatives in a time series remove which type of influence ?

    1. Along term trend
    2. Bcyclic variation
    3. CIrregular
    4. Dall the above
61. 61.
    Applied StatisticsIndex NumbersQ66 in paper

    Laspeyre's formula has bias and Paasche's formula has bias.

    1. Aan upward, a downward
    2. Ba downward, an upward
    3. Can upward, an upward
    4. Da downward, a downward
62. 62.
    Applied StatisticsIndex NumbersQ67 in paper

    Which is the best average used in the construction of index numbers ?

    1. Aarithmetic mean
    2. Bharmonic mean
    3. Cgeometric mean
    4. Dany of these
63. 63.
    Applied StatisticsIndex NumbersQ68 in paper

    It is possible to change the base year without changing the quantities used for weights while using

    1. APaasches method
    2. BLaspeyres method
    3. Cthe weighted aggregate
    4. Dnone of these
64. 64.
    Applied StatisticsIndex NumbersQ69 in paper

    To measure change in total monetary worth, one should calculate

    1. Aprice index
    2. Bquantity index
    3. Cvalue index
    4. Dall of these
65. 65.
    Applied StatisticsVital Statistics & DemographyQ71 in paper

    The total births and female population in child bearing age at a place in a year are 3000 and 50,000 respectively then the general fertility rate is

    1. A1/60
    2. B60
    3. C60,000
    4. D40
66. 66.
    Applied StatisticsVital Statistics & DemographyQ72 in paper

    Gross reproduction rate is defined as

    1. A(total fertility × female live births)/total live births
    2. Btotal live births/female population
    3. C(total fertility × total live births)/female live births
    4. Dtotal fertility/female population
67. 67.
    Applied StatisticsVital Statistics & DemographyQ74 in paper

    Vital statistics can be obtained by

    1. Acensus method
    2. Bsample survey method
    3. Csystem of registration
    4. Dall of these
68. 68.
    Applied StatisticsVital Statistics & DemographyQ75 in paper

    A growth of population depends upon

    1. Aincrease in birth rate
    2. Bdecrease in death rate
    3. Cimmigration and emigration
    4. Dall the above
69. 69.
    Fundamentals of IT & Computer ApplicationsOffice Productivity Software (Word, Spreadsheet, Presentation, Accounting)Q76 in paper

    Each excel file is called a workbook because

    1. AIt can contain text and data
    2. BIt can be modified
    3. CIt can contain many sheets including worksheets and chart sheets
    4. DIt requires hard work to create it
70. 70.
    Fundamentals of IT & Computer ApplicationsOffice Productivity Software (Word, Spreadsheet, Presentation, Accounting)Q77 in paper

    Which of the following option in File pull down menu is used to close a MS Word document ?

    1. AQuit
    2. BExit
    3. CClose
    4. DNew
71. 71.
    Fundamentals of IT & Computer ApplicationsOffice Productivity Software (Word, Spreadsheet, Presentation, Accounting)Q78 in paper

    Which of the following view is not present in PowerPoint?

    1. ANormal
    2. BOutline
    3. CSlide Sorter
    4. DSlide Show
72. 72.
    Fundamentals of IT & Computer ApplicationsOffice Productivity Software (Word, Spreadsheet, Presentation, Accounting)Q79 in paper

    What is the responsibility of the logical unit in the CPU of a computer ?

    1. ATo produce result
    2. BTo compare numbers
    3. CTo control flow of information
    4. DTo do mathematical works
73. 73.
    Q80 in paper

    The language that the computer can understand and execute is called

    1. AMachine language
    2. BApplication software
    3. CSystem program
    4. DAll the above
74. 74.
    Applied StatisticsStatistical Organization of India & Official StatisticsQ81 in paper

    At the centre, multipurpose socio-economic surveys are mainly conducted by

    1. ACentral Statistical Organization
    2. BIndian Statistical Institute
    3. CNational Information Institute
    4. DNational Sample Survey Organization
75. 75.
    EconomicsMicro EconomicsQ83 in paper

    When real income rather than money income is kept constant in drawing consumer's demand curve for a commodity, the demand curve is

    1. Asometimes negatively sloped
    2. Bnever negatively sloped
    3. Calways negatively sloped
    4. Doften negatively sloped
76. 76.
    EconomicsMicro EconomicsQ84 in paper

    According to the principle of diminishing marginal utility,

    1. Amarginal utility stays the same
    2. Btotal utility stays the same
    3. Cmarginal utility decreases with each additional unit of a good that is consumed
    4. Dtotal utility declines
77. 77.
    EconomicsMicro EconomicsQ85 in paper

    The price elasticity of demand for a product is greater if

    1. AThe proportion of the good of the consumer's budget is high
    2. BImports decrease
    3. CThe product is a necessity
    4. DThe number of substitute products is limited
78. 78.
    EconomicsMicro EconomicsQ86 in paper

    When price elasticity of demand is greater than one, demand is

    1. APerfectly inelastic
    2. BElastic
    3. CUnit elastic
    4. DInelastic
79. 79.
    EconomicsMicro EconomicsQ87 in paper

    In which situation Positive income effect is greater than negative substitution effect?

    1. Ainferior goods
    2. Bnormal goods
    3. Cluxury goods
    4. Dgiffen goods
80. 80.
    EconomicsMicro EconomicsQ88 in paper

    Elasticity of supply means change in supply due to change in

    1. Aprice of the commodity
    2. Bconditions of supply
    3. Ctaste of the consumer
    4. Dfashion of consumer
81. 81.
    General Knowledge of RajasthanSchemes, Initiatives & Current Affairs of RajasthanQ90 in paper

    The Oil refinery is proposed to be in which district of Rajasthan ?

    1. ABarmer
    2. BBikaner
    3. CJaisalmer
    4. DJodhpur
82. 82.
    General Knowledge of RajasthanGeography of RajasthanQ91 in paper

    Two districts of Rajasthan which come under the National Capital Region are

    1. AJaipur, Dausa
    2. BAlwar, Jhunjhunu
    3. CAlwar, Bharatpur
    4. DBharatpur, Dholpur
83. 83.
    General Knowledge of RajasthanSchemes, Initiatives & Current Affairs of RajasthanQ92 in paper

    Places to be included in the first phase of Delhi Mumbai Industrial Corridor

    1. AKhushkhera, Bhiwadi, Nimrana
    2. BSikar, Jhunjhunu, Churu
    3. CJaipur, Dausa, Tonk
    4. DKhushkhera, Bhiwadi, Behror
84. 84.
    Correlation & RegressionLinear Regression & Regression CoefficientsQ95 in paper

    Heteroscedasticity means that

    1. Aall X variables cannot be assumed to be homogenous
    2. Bthe variance of the error term is not constant
    3. Cthe observed units have no relations
    4. Dthe X and Y are not correlated
85. 85.
    Correlation & RegressionLinear Regression & Regression CoefficientsQ96 in paper

    A situation when two or more explanatory variables are highly correlated is referred to by what term?

    1. Acollinearity
    2. Bautocorrelation
    3. Cheteroscedasticity
    4. Dserial correlation
86. 86.
    EconomicsMacro EconomicsQ97 in paper

    National Income is

    1. AGross National Product - Direct Taxes
    2. BNet National Product - Indirect Taxes + Subsidies
    3. CGross Domestic Product - Imports
    4. DNet Domestic Product + Products
87. 87.
    Correlation & RegressionLinear Regression & Regression CoefficientsQ98 in paper

    Autocorrelation may be the result of.......

    1. Athe omission of an important explanatory variable.
    2. Bthe presence of a trend in the independent variable.
    3. Cnonlinearities in the relationship between the dependent and independent variables.
    4. Dall the above
88. 88.
    Correlation & RegressionLinear Regression & Regression CoefficientsQ99 in paper

    The Durbin-Watson statistic is used to test for.......

    1. Amulticollinearity
    2. Bautocorrelation
    3. Cheteroscedasticity
    4. Dall the above
89. 89.
    EconomicsMacro EconomicsQ100 in paper

    To move from gross domestic product to gross national product we must add to gross domestic product the

    1. Anet property income from abroad
    2. Bsubsidies minus taxes
    3. Ctaxes minus subsidies
    4. Ddepreciation of plant and equipment

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