Statistique Et Méthodologie De La Recherche Test

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1 / 60

The coefficient of determination (sometimes known as the regression coefficient) enables you to:

a. assess whether two variables measure the same phenomenon.

b. measure the difference between two variables.

c. assess the strength of relationship between a quantifiable dependent variable and one or more quantifiable independent variables.

d. establish whether the data is telling you what you think it should tell you.

2 / 60

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

a. y intercept

b. slope of the line

c. parameter

d. independent variable

3 / 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. Unknown

b. Zero

c. Minimum

d. Maximum

4 / 60

51. What is the slope of the line y = -3.4x – 2.5?

a. 2.5

b. 3.4

c. -2.5

d. -3.4

5 / 60

Bivariate Data are the data collected for :

a. More than two variables

b. Two variables at the same point of time

c. Two variables

d. Two variables at different points of time.

6 / 60

Internal “validity” refers to:

a. how accurately the measurements represent underlying concepts.

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

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

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

7 / 60

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

a. Zero

b. Minimum

c. Negative

d. Positive

8 / 60

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

a. Difficult to tell

b. Opposite direction

c. Same direction

d. Same and opposite direction

9 / 60

My estimated regression line is Y = 17 + 4X. The intercept is equal to:

a. 13

b. 17

c. 4

d. 21

10 / 60

Which of the following requirements for a scientific report writing may depend on your
institution (EXCEPT ONE)?

a. Whether an abstract should be included

b. Oral presentation

c. The size of the study

d. The format for referencing

11 / 60

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

a. Regression coefficient of Y on X

b. Regression coefficient of X on Y

c. Correlation coefficient of Y on X

d. Correlation coefficient of X on Y

12 / 60

In correlation both variables are always?

a. same

b. different

c. Random

d. Non Random

13 / 60

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

a. 2

b. -0.2

c. -2

d. 0.2X

14 / 60

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

a. Descriptive statistics

b. Correlated statistics

c. Regression statistics

d. Inferential statistics

15 / 60

If there is a very strong correlation between two variables then the correlation coefficient must
be:

a. much larger than 0, regardless of whether the correlation is negative or positive

b. any value larger than 1

c. less than zero

d. much smaller than 0, if the correlation is negative

16 / 60

The correlation coefficient is used to determine:

a. The strength of the relationship between the x and y variables

b. A specific value of the y-variable given a specific value of the x-variable

c. The estimation parameter

d. A specific value of the x-variable given a specific value of the y-variable

17 / 60

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

a. 1

b. 5

c. 0.5

d. 0

18 / 60

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

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

b. Regression enables prediction of the dependent variable

c. Correlation is the same as regression

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

19 / 60

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

a. Regression

b. Residual

c. Slope

d. Correlation

20 / 60

If the Pearson Correlation Coefficient shows zero value, it means that:

a. There is no relationship between the two variables

b. There is a relationship between the two variables

c. There is a strong relationship between the two variables

d. There is a weak relationship between the two variables

21 / 60

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

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

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

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

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

22 / 60

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

a. 0 ≤ r ≤ 1

b. -1 ≤ r ≤ 1

c. r ≥ 1

d. -1 ≤ r

23 / 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 = -1

b. 0 ≤ r ≤ 1

c. r ≥ 0

d. r = +1

24 / 60

A scatterplot is a ?

a. two-dimensional graph of a curved line.

b. two-dimensional graph of a straight line.

c. one-dimensional graph of randomly scattered data.

d. two-dimensional graph of data values.

25 / 60

In regression, the equation that describes how the response variable (y) is related to the
explanatory variable (x) is:

a. used to compute the correlation coefficient

b. the regression model

c. the sample size

d. the correlation model

26 / 60

If the two series move in reverse directions and the variations in their values are always proportionate, it is said to be:

a. Perfect negative correlation

b. Negative correlation

c. Positive correlation

d. Perfect positive correlation

27 / 60

The range of regression coefficient is:

a. 0 to ∞

b. -∞ to +∞

c. 0 to 1

d. -1 to +1

28 / 60

Inferential statistics enable you to (Except one):

a. estimate population parameters.

b. decide if your research results are meaningful.

c. decide if the research hypothesis is true

d. decide if the null hypothesis is false

29 / 60

Which of the following statements is true?

a. The coefficient of determination can have values from 0 to 1.

b. The coefficient of determination can have values from –1 to -2.

c. The coefficient of determination can have values from 1 to 2

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

30 / 60

In regression analysis, the variable that is doing the predicting or explaining is

a. usually denoted by y

b. the dependent variable

c. the slope

d. the independent variable

31 / 60

The step in the data analysis process is (EXCEPT ONE):

a. Data retrieval

b. Data promotion

c. Data analysis and interpretation

d. Data presentation

32 / 60

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

a. Slope

b. Error

c. Regression equation

d. Intercept

33 / 60

The percent of total variation of the dependent variable Y explained by the set of independent variables X is measured by

a. Coefficient of Determination

b. Coefficient of Correlation

c. Coefficient of Skewness

d. Standard Error or Estimate

34 / 60

To compare two means we use:

a. t-test

b. Oneway ANOVA

c. F-test

d. Chi-squared test

35 / 60

Inferential statistics is a process that involves all of the following EXCEPT:

a. Estimating a parameter

b. test a hypothesis

c. analyze relationships

d. Estimating a statistic.

36 / 60

Two variables have a positive association when?

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

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 irregard less of how the values of the other variable change.

d. the values of both variables are always positive.

37 / 60

Inferential statistics are useful for:

a. Interviews

b. Observing natural behavior

c. Construct validity

d. Determining the probability of something

38 / 60

The regression equation always passes through:

a. Mean X

b. mean X, Mean Y

c. (a, b)

d. (X, Y)

39 / 60

An example of an experimental study is a(n):

a. Case report

b. Focus group

c. Randomized clinical trial

d. Cross-sectional study

40 / 60

If a researcher conducts a study in which the reading ability of a class of 20 second graders is
tested at the beginning and at the end of the year, the appropriate statistical procedure to
analyze the results would be:

a. The dependent samples t-test

b. ANOVA

c. Chi-square

d. ANCOVA

41 / 60

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

a.  -0-.5 and +0.5

b. -1 and 0

c. -1 and +1

d. 0 and 1

42 / 60

If the plotted points in a scatter diagram are evenly distributed, then the correlation is :

a. Zero

b. Positive

c. Weak

d. Negative

43 / 60

The purpose of simple linear regression analysis is to:

a. Obtain the expected value of the independent variable

b. Predict one variable from another variable

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

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

44 / 60

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. Zero

c. Perfect negative

d. Negative

45 / 60

Which part of written report that can answer the research question?

a. Introduction

b. Result

c. Discussion

d. Method

46 / 60

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

a. b ≠ 0

b. b = 1

c. a = b

d. b = 0

47 / 60

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

a. slope of the line

b. independent variable

c. parameter

d. y intercept

48 / 60

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

a. Independent

b. Independent and dependent

c. Dependent

d. Difficult to tell

49 / 60

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

a. Regression analysis

b. Correlation analysis

c. Inference

d. Partial correlation analysis

50 / 60

Quantitative data refers to:

a. numerical data that could usefully be quantified to help you answer your research question(s) and to meet your objectives

b. any data you present in your report

c. statistical analysis

d. graphs and tables.

51 / 60

If the correlation coefficient is a positive value, then the slope of the regression line:

a. can not be zero

b. can be zero

c. must also be positive

d. can be either negative or positive

52 / 60

if the correlation coefficient r = 0.5 then the coefficient of determination is?

a. 1.00

b. 2.50

c. 0.10

d. 0.25

53 / 60

Correlation analysis is used to:

a. Predict values of y based on values of x

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

c. Analyse data

d. Measure the strength of association between two variables

54 / 60

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

a. b = 0

b. b ≠ 0

c. b larger than 0

d. b smaller than 0

55 / 60

When the two regression lines are parallel to each other, then their slopes are:

a. Same

b. Zero

c. Different

d. Positive

56 / 60

When regression line passes through the origin, then:

a. Intercept is zero

b. Association is zero

c. Regression coefficient is zero

d. Correlation is zero

57 / 60

R2 is used in regression analysis to:

a. Estimate correlation

b. To determine how well the model works

c. Measure model fit

d. Measure the amount of variance in the dependent variable explained by variation in the independent variables

58 / 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. Excel

b. Stata

c. Word, Excel

d. Access

59 / 60

The strength (degree) of the correlation between a set of independent variables X and a dependent variable Y is measured by

a. Coefficient of Determination

b. Sample size

c. Coefficient of Correlation

d. Standard error of estimate

60 / 60

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

a. 0

b. 2

c. 3

d. 1

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Statistique Et Méthodologie De La Recherche Test

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