MCQs 3 on "REGRESSION AND CORRELATION"

These are MCQs 3 on "REGRESSION AND CORRELATION" Statistics. Practice MCQs to check your knowledge for Entrance examination like CSIR NET, BINC etc.

1. In the regression equation Y = a+bX, the Y is called:

• Independent variable
• Dependent variable
• Continuous variable
• None of the above

2. In the regression equation X = a + bY, the X is called:

• Independent variable
• Dependent variable
• Qualitative variable
• None of the above

3. In the regression equation Y = a +bX, a is called:

• X-intercept
• Y-intercept
• Dependent variable
• None of the above

4. The regression equation always passes through:

• (X, Y)
• (a, b)
• X ,Y
• X , Y

5. The independent variable in a regression line is:

• Non-random variable
• Random variable
• Qualitative variable
• None of the above

6. The graph showing the paired points of (Xi, Yi) is called:

• Scatter diagram
• Histogram
• Historigram
• Pie diagram

7. When regression line passes through the origin, then:

• Intercept is zero
• Regression coefficient is zero
• Correlation is zero
• Association is zero

8. When bXY is positive, then byx will be:

• Negative
• Positive
• Zero
• One

9. The correlation coefficient is the_______of two regression coefficients:

• Geometric mean
• Arithmetic mean
• Harmonic mean
• Median

10. When two regression coefficients bear same algebraic signs, then correlation coefficient is:

• Positive
• Negative
• According to two signs
• Zero

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MCQs 2 on "REGRESSION AND CORRELATION"

These are MCQs 2 on "REGRESSION AND CORRELATION" Statistics. Practice MCQs to check your knowledge for Entrance examination like CSIR NET, BINC etc.

1. The straight line graph of the linear equation Y = a+ bX, slope will be upward if:

• b = 0
• b < 0
• b > 0
• b ≠ 0

2. The straight line graph of the linear equation Y = a + bX, slope will be downward If:

• b > 0
• b < 0
• b = 0
• b ≠ 0

3. The straight line graph of the linear equation Y = a + bX, slope is horizontal if:

• b = 0
• b ≠ 0
• b = 1
• a = b

4. If regression line of = 5, then value of regression coefficient of Y on X is:

• 0
• 0.5
• 1
• 5

5. If Y = 2 - 0.2X, then the value of Y intercept is equal to:

• -0.2
• 2
• 0.2X
• All of the above

6. If one regression coefficient is greater than one, then other will he:

• More than one
• Equal to one
• Less than one
• Equal to minus one

7. To determine the height of a person when his weight is given is:

• Correlation problem
• Association problem
• Regression problem
• Qualitative problem

8. The dependent variable is also called:

• Regression
• Regressand
• Continuous variable
• Independent

9. The dependent variable is also called:

• Regressand variable
• Predictand variable
• Explained variable
• All of these

10. The independent variable is also called:

• Regressor
• Regressand
• Predictand
• Estimated

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MCQs 1 on "REGRESSION AND CORRELATION"

These are MCQs 1 on "REGRESSION AND CORRELATION" Statistics. Practice MCQs to check your knowledge for Entrance examination like CSIR NET, BINC etc.

1. A process by which we estimate the value of dependent variable on the basis of one or more independent variables is called:

• Correlation
• Regression
• Residual
• Slope

2. The method of least squares dictates that we choose a regression line where the sum of the square of deviations of the points from the lie is:

• Maximum
• Minimum
• Zero
• Positive

3. A relationship where the flow of the data points is best represented by a curve is called:

• Linear relationship
• Nonlinear relationship
• Linear positive
• Linear negative

4. All data points falling along a straight line is called:

• Linear relationship
• Non linear relationship
• Residual
• Scatter diagram

5. The value we would predict for the dependent variable when the independent variables are all equal to zero is called:

• Slope
• Sum of residual
• Intercept
• Difficult to tell

6. The predicted rate of response of the dependent variable to changes in the independent variable is called:

• Slope
• Intercept
• Error
• Regression equation

7. The slope of the regression line of Y on X is also called the:

• Correlation coefficient of X on Y
• Correlation coefficient of Y on X
• Regression coefficient of X on Y
• Regression coefficient of Y on X

8. In simple linear regression, the numbers of unknown constants are:

• One
• Two
• Three
• Four

9. In simple regression equation, the numbers of variables involved are:

• 0
• 1
• 2
• 3

10. If the value of any regression coefficient is zero, then two variables are:

• Qualitative
• Correlation
• Dependent
• Independent

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MCQs 3 on "Hypothesis Testing" Statistics

These are MCQs 3 on "Hypothesis Testing" Statistics. Practice MCQs to check your knowledge for Entrance examination like CSIR NET, BINC etc.

1. The range of test statistic-t is:

• 0 to ∞
• 0 to 1
• -∞ to +∞
• -1 to +1

2. If H_o is true and we reject it is called:

• Type-I error
• Type-II error
• Standard error
• Sampling error

3. The probability associated with committing type-I error is:

• β
• α
• 1 – β
• 1 – α

4. A failing student is passed by an examiner, it is an example of:

• Type-I error
• Type-II error
• Unbiased decision
• Difficult to tell

5. A passing student is failed by an examiner, it is an example of:

• Type-I error
• Type-II error
• Best decision
• All of the above

6. 1 – α is also called:

• Confidence coefficient
• Power of the test
• Size of the test
• Level of significance

7. 1 – α is the probability associated with:

• Type-I error
• Type-II error
• Level of confidence
• Level of significance

8. Area of the rejection region depends on:

• Size of α
• Size of β
• Test-statistic
• Number of values

9. Size of critical region is known as:

• β
• 1 - β
• Critical value
• Size of the test

10. A null hypothesis is rejected if the value of a test statistic lies in the:

• Rejection region
• Acceptance region
• Both (a) and (b)
• Neither (a) nor (b)

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MCQs 2 on "Hypothesis Testing" Statistics

These are MCQs 2 on "Hypothesis Testing" Statistics. Practice MCQs to check your knowledge for Entrance examination like CSIR NET, BINC etc.

1. A hypothesis may be classified as:

• Simple
• Composite
• Null
• All of the above

2. The probability of rejecting the null hypothesis when it is true is called:

• Level of confidence
• Level of significance
• Power of the test
• Difficult to tell

3. The dividing point between the region where the null hypothesis is rejected and the region where it is not rejected is said to be:

• Critical region
• Critical value
• Acceptance region
• Significant region

4. If the critical region is located equally in both sides of the sampling distribution of test-statistic, the test is called:

• One tailed
• Two tailed
• Right tailed
• Left tailed

5. The choice of one-tailed test and two-tailed test depends upon:

• Null hypothesis
• Alternative hypothesis
• None of these
• Composite hypotheses

6. Test of hypothesis Ho: μ = 50 against H1: μ > 50 leads to:

• Left-tailed test
• Right-tailed test
• Two-tailed test
• Difficult to tell

7. Test of hypothesis Ho: μ = 20 against H1: μ < 20 leads to:

• Right one-sided test
• Left one-sided test
• Two-sided test
• All of the above

8. Testing Ho: μ = 25 against H1: μ ≠ 20 leads to:

• Two-tailed test
• Left-tailed test
• Right-tailed test
• Neither (a), (b) and (c)

9. A rule or formula that provides a basis for testing a null hypothesis is called:

• Test-statistic
• Population statistic
• Both of these
• None of the above

10. The range of test statistic-Z is:

• 0 to 1
• -1 to +1
• 0 to ∞
• -∞ to +∞

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MCQs 1 on "Hypothesis Testing" Statistics

These are MCQs 1 on "Hypothesis Testing" Statistics. Practice MCQs to check your knowledge for Entrance examination like CSIR NET, BINC etc.

1. A statement about a population developed for the purpose of testing is called:

• Hypothesis
• Hypothesis testing
• Level of significance
• Test-statistic

2. Any hypothesis which is tested for the purpose of rejection under the assumption that it is true is called:

• Null hypothesis
• Alternative hypothesis
• Statistical hypothesis
• Composite hypothesis

3. A statement about the value of a population parameter is called:

• Null hypothesis
• Alternative hypothesis
• Simple hypothesis
• Composite hypothesis

4. Any statement whose validity is tested on the basis of a sample is called:

• Null hypothesis
• Alternative hypothesis
• Statistical hypothesis
• Simple hypothesis

5. A quantitative statement about a population is called:

• Research hypothesis
• Composite hypothesis
• Simple hypothesis
• Statistical hypothesis

6. A statement that is accepted if the sample data provide sufficient evidence that the null hypothesis is false is called:

• Simple hypothesis
• Composite hypothesis
• Statistical hypothesis
• Alternative hypothesis

7. The alternative hypothesis is also called:

• Null hypothesis
• Statistical hypothesis
• Research hypothesis
• Simple hypothesis

8. A hypothesis that specifies all the values of parameter is called:

• Simple hypothesis
• Composite hypothesis
• Statistical hypothesis
• None of the above

9. The hypothesis μ ≤ 10 is a:

• Simple hypothesis
• Composite hypothesis
• Alternative hypothesis
• Difficult to tell.

10. If a hypothesis specifies the population distribution is called:

• Simple hypothesis
• Composite hypothesis
• Alternative hypothesis
• None of the above

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