Statistique Et Méthodologie De La Recherche Test

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1 / 60

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

a. Regression enables prediction of the dependent variable

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

c. Correlation is the same as regression

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

2 / 60

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

a. Data mining

b. Data analysis

c. Data mapping

d. Data trending

3 / 60

The coefficient of determination is the?

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

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

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

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

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

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

5 / 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. much smaller than 0, if the correlation is negative

c. any value larger than 1

d. less than zero

6 / 60

If the coefficient of determination is equal to 1, then the correlation coefficient:

a. must be -1

b. must also be equal to 1

c. can be any value between -1 to +1

d. can be either -1 or +1

7 / 60

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

a. Randomized clinical trial

b. Case report

c. Cross-sectional study

d. Focus group

8 / 60

The total variation explained by a regression model is given by:

a. The t-value

b. R2

c. The f-value

d. The p-value

9 / 60

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

a. Regression statistics

b. Inferential statistics

c. Correlated statistics

d. Descriptive statistics

10 / 60

In descriptive statistics our main objective is to:

a. Describe the population

b. Infer something about the population

c. Describe the data we collected

d. Draw conclusion

11 / 60

Inferential statistics enable you to (Except one):

a. decide if the null hypothesis is false

b. estimate population parameters.

c. decide if your research results are meaningful.

d. decide if the research hypothesis is true

12 / 60

Correlation analysis is used to:

a. Measure the strength of association between two variables

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

c. Predict values of y based on values of x

d. Analyse data

13 / 60

Which of the following are examples of continuous variables?

a. Birth weight of babies

b. Distance between

c. Number of children

d. Age in year

14 / 60

The coefficient of correlation

a. can never be negative

b. is the square root of the coefficient of determination

c. can never be positive

d. is the coefficient of determination squared

15 / 60

Which of the following statements regarding a researcher’s use of inferential statistics is
true?

a. A random sample provides a perfect estimate of the population values.

b. It is best to measure every member of a population if possible

c. We usually need to take several samples to obtain a good estimate of the population values.

d. Descriptive statistics from a sample are used to estimate the characteristics of the population.

16 / 60

The measure of how well the regression line fits the data is the:

a. coefficient of determination

b. standard error

c. mean square error

d. slope of the regression

17 / 60

In regression analysis, the variable that is being predicted is the:

a. independent variable

b. is usually x

c. response, or dependent, variable

d. intervening variable

18 / 60

If a study is “reliable”, this means that:

a. the methods are outlined in the methods discussion clearly enough for the research to be replicated.

b. he measures devised for concepts are stable on different occasions.

c. it was conducted by a reputable researcher who can be trusted

d. the findings can be generalized to other social phenomena

19 / 60

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

a. test a hypothesis

b. analyze relationships

c. Estimating a statistic.

d. Estimating a parameter

20 / 60

The most commonly used formula to describe linear relationship is?

a. ŷ = b0 + b1x+b2

b. ŷ = b0 + b1x + b2x2

c. ŷ = b0 + b1x2

d. ŷ = b0 + b1x

21 / 60

If two variables, x and y, have a very strong linear relationship, then:

a. there might not be any causal relationship between x and y

b. there is evidence that y causes a change in x

c. there is evidence that x causes a change in y

d. There is large correlation coefficient

22 / 60

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

a. Maximum

b. Less than 1

c. Zero

d. Minimum (Least)

23 / 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. 0.64%

c. 64%

d. 80%

24 / 60

When the p-value is less than 0.05 we can conclude that:

a. Fail to reject the null hypothesis

b. No statistically significant

c. No evidence to reject the null hypothesis

d. Reject the null hypothesis

25 / 60

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

a. significance level

b. analysis of variance

c. β

d. Pearson correlation coefficient

26 / 60

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

a. Nonlinear relationship

b. Linear positive

c. Linear negative

d. Linear relationship

27 / 60

A Type I error occurs when the null hypothesis is:

a. accepted and null hypothesis is actually true.

b. rejected and null hypothesis is actually true.

c. accepted but and research hypothesis is actually true.

d. Rejected and the research hypothesis is actually false.

28 / 60

Quantitative data refers to:

a. statistical analysis

b. graphs and tables.

c. any data you present in your report

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

29 / 60

A scatterplot is a ?

a. two-dimensional graph of data values.

b. two-dimensional graph of a curved line.

c. two-dimensional graph of a straight line.

d. one-dimensional graph of randomly scattered data.

30 / 60

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

a. Zero

b. Negative

c. One

d. Positive

31 / 60

Let the coefficient of determination computed to be 0.39 in a problem involving one independent variable and one dependent variable. This result means that

a. The relationship between two variables is negative

b. 39% of the total variation is explained by the dependent variable

c. 39% of the total variation is explained by the independent variable

d. The correlation coefficient is 0.39 also

32 / 60

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

a. could be either + 0.9 or – 0.9

b. is 0.6561

c. must be negative

d. must be positive

33 / 60

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

a. 0

b. 5

c. 0.5

d. 1

34 / 60

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

a. Positive

b. Negative

c. Zero

d. Weak

35 / 60

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

a. a = b

b. b ≠ 0

c. b = 0

d. b = 1

36 / 60

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

a. Slope

b. Correlation coefficient

c. Intercept

d. Regression equation

37 / 60

Correlation analysis aims at :

a. Measuring the extent of relation between two variables

b. Investigate cause of outcome

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

d. Establishing relation between two variables

38 / 60

Because of the possibility of error in sampling from populations, researchers use:

a. Unbiased

b. Descriptive

c. Probability

d. Significance

39 / 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. r ≥ 0

c. r = -1

d. 0 ≤ r ≤ 1

40 / 60

If you have 20 pairs of subjects what would be the degrees of freedom for a test of correlation
between the groups of scores?

a. 20

b. 19

c. 21

d. 22

41 / 60

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

a. Data analysis and interpretation

b. Data presentation

c. Data retrieval

d. Data promotion

42 / 60

The term regression was used by:

a. Spearman

b. Pearson

c. Newton

d. Galton

43 / 60

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

a. Correlation coefficient of Y on X

b. Correlation coefficient of X on Y

c. Regression coefficient of X on Y

d. Regression coefficient of Y on X

44 / 60

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

a. Downward direction

b. Upward direction

c. Same direction

d. Opposite direction

45 / 60

A perfect positive correlation is signified by:

a. 0

b. -1 to +1

c. -1

d. +1

46 / 60

Inferential statistics enable you to :

a. estimate population parameters.

b. decide conducting research

c. decide conducting interview

d. decide analysis data

47 / 60

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

a. slope of the line

b. independent variable

c. parameter

d. y intercept

48 / 60

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

a. 1

b. 2

c. 3

d. 0

49 / 60

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

a. Correlation coefficient cannot have this value

b. The relationship between two variables is strong and positive

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

d. The relationship between two variables is weak.

50 / 60

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

a. Positive

b. Zero

c. Undecided

d. Negative

51 / 60

Internal “validity” refers to:

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

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

c. how accurately the measurements represent underlying concepts.

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

52 / 60

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

a. Zero

b. Positive

c. Different

d. Same

53 / 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 both variables are always positive.

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

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

54 / 60

An r value of 0.80 indicates:

a. Perfect linear correlation

b. No linear correlation

c. Strong linear correlation

d. Correlation but not linear

55 / 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 positive correlation

b. Negative correlation

c. Perfect negative correlation

d. Positive correlation

56 / 60

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

a. Opposite direction

b. Difficult to tell

c. Same and opposite direction

d. Same direction

57 / 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

58 / 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. Chi-square

b. ANCOVA

c. The dependent samples t-test

d. ANOVA

59 / 60

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

a. Historigram

b. Histogram

c. Pie diagram

d. Scatter diagram

60 / 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. Positive

c. Negative

d. Minimum

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Statistique Et Méthodologie De La Recherche Test

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