Statistique Et Méthodologie De La Recherche Test

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1 / 60

Which of the following statements is false?

a. The coefficient of determination can be applied to any straight line.

b. The coefficient of determination can be applied to any curve.

c. The coefficient of determination is the variation in y explained by variation in x, divided by the total variation in y.

d. The coefficient of determination can have values from –1 to 1.

2 / 60

If one item is fixed and unchangeable and the other item varies, the correlation coefficient will be:

a. Zero

b. Positive

c. Undecided

d. Negative

3 / 60

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

a. b ≠ 0

b. a = b

c. b = 0

d. b = 1

4 / 60

The coefficient of correlation

a. is the coefficient of determination squared

b. can never be positive

c. is the square root of the coefficient of determination

d. can never be negative

5 / 60

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

a. Dependent variable

b. Continuous variable

c. Independent variable

d. Estimate

6 / 60

Two variables have a positive association when?

a. the values of one variable tend to increase irregard less of how the values of the other variable change.

b. the values of one variable tend to decrease as the values of the other variable increase.

c. the values of one variable tend to increase as the values of the other variable increase.

d. the values of both variables are always positive.

7 / 60

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

a. 0.2X

b. -2

c. -0.2

d. 2

8 / 60

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

a. Slope and Regression coefficient

b. Intercept

c. Regression coefficient

d. Slope

9 / 60

Scatter diagram is considered for measuring :

a. Predict independent variable

b. Curvilinear relationship between two variables

c. Linear relationship between two variables

d. Predict dependent variable

10 / 60

When the ratio of variations in the related variables is constant, it is called:

a. Positive correlation

b. Negative correlation

c. Nonlinear correlation

d. Linear correlation

11 / 60

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

a. Correlation

b. Slope

c. Regression

d. Residual

12 / 60

The mean, median, mode and standard deviation are examples of:

a. Part of experimental studies

b. Descriptive statistics

c. Inferential statistics

d. Linear regression statistics

13 / 60

Internal “validity” refers to:

a. The extent to which the researcher believes that this was a worthwhile project

b. whether or not the findings are relevant to the researchers' everyday lives.

c. how accurately the measurements represent underlying concepts.

d. Whether or not there is really a causal relationship between two variables

14 / 60

Inferential statistics enable you to :

a. estimate population parameters.

b. decide conducting research

c. decide analysis data

d. decide conducting interview

15 / 60

If both variables X and Y increase or decrease simultaneously, then the coefficient of correlation will be:

a. Positive

b. Negative

c. One

d. Zero

16 / 60

The dependent variable is also called except one:

a. Predictand variable

b. Independent variable

c. Explained variable

d. Regressand variable

17 / 60

In regression analysis, if the independent variable is measured in kilograms, the dependent
variable:

a. can be any units

b. cannot be in kilograms

c. must also be in kilograms

d. must be in some unit of weight

18 / 60

31. The value of the coefficient of correlation r lies between:

a.  -0-.5 and +0.5

b. -1 and +1

c. -1 and 0

d. 0 and 1

19 / 60

Which Statistical software come with appropriate table, graph, and/or chart-building
features to easily convert tabular data into a variety of formats.?

a. Stata

b. Access

c. Word, Excel

d. Excel

20 / 60

Relationship between correlation coefficient and coefficient of determination is that?

a. both are equal

b. The coefficient of determination is the coefficient of correlation squared

c. both are unrelated

d. The coefficient of determination is the square root of the coefficient of correlation

21 / 60

If the coefficient of determination is 0.81, the correlation coefficient:

a. must be positive

b. is 0.6561

c. could be either + 0.9 or – 0.9

d. must be negative

22 / 60

The purpose of simple linear regression analysis is to:

a. Replace points on a scatter diagram by a straight-line

b. Measure the degree to which two variables are linearly associated

c. Obtain the expected value of the independent variable

d. Predict one variable from another variable

23 / 60

The term regression was used by:

a. Newton

b. Galton

c. Spearman

d. Pearson

24 / 60

If all the actual and estimated values of Y are same on the regression line, the sum of squares of error will be:

a. Maximum

b. Zero

c. Minimum

d. Unknown

25 / 60

Method is used to infer that the results from a sample are reflective of the true population
scores. ?

a. Inferential statistics

b. Correlated statistics

c. Descriptive statistics

d. Regression statistics

26 / 60

A coefficient of correlation is computed to be -0.95 means that

a. The relationship between two variables is strong and but negative

b. The relationship between two variables is weak.

c. Correlation coefficient cannot have this value

d. The relationship between two variables is strong and positive

27 / 60

To investigate the association between two categorical variables we use:

a. t-test

b. F-test

c. z-test

d. Chi-squared test

28 / 60

Which of these is not one of the four main reasons for missing data?

a. The respondent did not know the answer or did not have an opinion

b. The analyst ignored its presence on the data form.

c. The data was not required from the respondent, perhaps because of a skip generated by a filter question in a survey

d. The respondent may have missed a question by mistake.

29 / 60

Negative regression coefficient indicates that the movement of the variables are in:

a. Difficult to tell

b. Same direction

c. Opposite direction

d. Same and opposite direction

30 / 60

Correlation analysis is used to:

a. Measure the strength of association between two variables

b. Predict values of y based on values of x

c. Simultaneously compare the effect of multiple independent variables on a dependent variable

d. Analyse data

31 / 60

The arithmetic mean of the two regression coefficients is greater than or equal to:

a. +1

b. -1

c. 0

d. r

32 / 60

The most commonly used formula to describe linear relationship is?

a. ŷ = b0 + b1x+b2

b. ŷ = b0 + b1x + b2x2

c. ŷ = b0 + b1x

d. ŷ = b0 + b1x2

33 / 60

Computers are essential for quantitative data analysis because?

a. they are fun to use.

b. they enable easy calculation for those of us not too good with figures

c. increasingly data analysis software contain algorithms that check the data for obvious errors as it is entered

d. they are so powerful

34 / 60

A t-test is used to compare:

a. 4 means

b. 5 means

c. 3 means

d. 2 means

35 / 60

The mean of a sampling distribution of a sample statistic is called :

a. the central limit.

b. the expected value

c. the mean of the means.

d. the standard error.

36 / 60

The correlation coefficient, r, can take on any value within what range?

a. -1 ≤ r

b. 0 ≤ r ≤ 1

c. r ≥ 1

d. -1 ≤ r ≤ 1

37 / 60

If all the values fall on the same straight line and the line has a positive slope then what will be
the value of the correlation coefficient ‘r’:

a. r ≥ 0

b. r = +1

c. r = -1

d. 0 ≤ r ≤ 1

38 / 60

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

a. Regression coefficient of X on Y

b. Correlation coefficient of Y on X

c. Regression coefficient of Y on X

d. Correlation coefficient of X on Y

39 / 60

An r value of 0.80 indicates:

a. Strong linear correlation

b. No linear correlation

c. Correlation but not linear

d. Perfect linear correlation

40 / 60

The coefficient of determination is the?

a. ratio of the explained variation to the total deviation.

b. ratio of the unexplained deviation to the total variation.

c. ratio of the explained variation to the total variation.

d. ratio of the unexplained deviation to the explained deviation.

41 / 60

The best fitting trend is one for which the sum of squares of error is?

a. Less than 1

b. Maximum

c. Minimum (Least)

d. Zero

42 / 60

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

a. Correlation

b. Qualitative

c. Dependent

d. Independent

43 / 60

An alternative to statistical techniques for analysis of data to find patterns and trends is?

a. Data analysis

b. Data mapping

c. Data trending

d. Data mining

44 / 60

If the correlation coefficient is 0.8, the percentage of variation in the response variable explained
by the variation in the explanatory variable is:

a. 0.80%

b. 64%

c. 0.64%

d. 80%

45 / 60

The regression equation always passes through:

a. Mean X

b. mean X, Mean Y

c. (X, Y)

d. (a, b)

46 / 60

If the value of regression coefficient is zero, then the two variable are called:

a. Dependent

b. Independent and dependent

c. Difficult to tell

d. Independent

47 / 60

The coefficient of determination (r2) is

a. 100%

b. the square root of the correlation coefficient

c. usually less than zero

d. the correlation coefficient squared

48 / 60

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

a. b smaller than 0

b. b ≠ 0

c. b = 0

d. b larger than 0

49 / 60

In the regression equation y = bo + b1x1, b1 is the

a. slope of the line

b. parameter

c. y intercept

d. independent variable

50 / 60

A statistical technique that develops an equation that relates a dependent variable to one or
more independent variables is called:

a. Partial correlation analysis

b. Correlation analysis

c. Regression analysis

d. Inference

51 / 60

A measure of the strength of the linear relationship that exists between two variables is called:

a. Intercept

b. Correlation coefficient

c. Regression equation

d. Slope

52 / 60

In the regression equation y = bo + bx, bo is the

a. y intercept

b. parameter

c. independent variable

d. slope of the line

53 / 60

The degree of linear association between two metric scaled variables is measured by:

a. β

b. significance level

c. analysis of variance

d. Pearson correlation coefficient

54 / 60

Scatter diagram helps us to :

a. Calculate slop

b. Compute the extent of correlation between two variables

c. Obtain the mathematical relationship between two variables

d. Find the nature correlation between two variables

55 / 60

The difference between regression analysis and correlation analysis is (except one):

a. Regression provides measures of association in units of the variable being measured

b. Regression estimates the line of best fit through the data

c. Regression enables prediction of the dependent variable

d. Correlation is the same as regression

56 / 60

The sum of the difference between the actual values of Y and its values obtained from the fitted regression line is always:

a. Negative

b. Zero

c. Positive

d. Minimum

57 / 60

Correlation analysis aims at :

a. Measuring the extent of relation between two variables

b. Establishing relation between two variables

c. Predicting one variable for a given value of the other variable

d. Investigate cause of outcome

58 / 60

All data points falling along a straight line is called:

a. Residual

b. Non linear relationship

c. Linear relationship

d. Scatter diagram

59 / 60

Correlation and regression are concerned with ?

a. the relationship between two quantitative variables.

b. the relationship between two categorical variables.

c. the relationship between a quantitative explanatory variable and a categorical response variable.

d. the relationship between a categorical explanatory variable and a quantitative response variable.

60 / 60

Which of the following statements is true regarding a sample?

a. It refers to estimation

b. It must contain at least five observations

c. It is a part of population

d. It refers to descriptive statistics

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Statistique Et Méthodologie De La Recherche Test

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