Statistique Et Méthodologie De La Recherche Test

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1 / 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 sample size

c. the regression model

d. the correlation model

2 / 60

Scatter diagram is considered for measuring :

a. Linear relationship between two variables

b. Predict dependent variable

c. Predict independent variable

d. Curvilinear relationship between two variables

3 / 60

Inferential statistics enable you to :

a. estimate population parameters.

b. decide conducting research

c. decide conducting interview

d. decide analysis data

4 / 60

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

a. Regression coefficient

b. Slope and Regression coefficient

c. Slope

d. Intercept

5 / 60

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

a. 13

b. 4

c. 17

d. 21

6 / 60

In correlation both variables are always?

a. Random

b. same

c. different

d. Non Random

7 / 60

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

a. The size of the study

b. Oral presentation

c. The format for referencing

d. Whether an abstract should be included

8 / 60

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

a. -1 ≤ r ≤ 1

b. -1 ≤ r

c. r ≥ 1

d. 0 ≤ r ≤ 1

9 / 60

The coefficient of determination is the?

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

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

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

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

10 / 60

Inferential statistics are useful for:

a. Observing natural behavior

b. Interviews

c. Determining the probability of something

d. Construct validity

11 / 60

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

a. Negative correlation

b. Linear correlation

c. Positive correlation

d. Nonlinear correlation

12 / 60

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

a. The relationship between two variables is strong and positive

b. Correlation coefficient cannot have this value

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

d. The relationship between two variables is weak.

13 / 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

14 / 60

Quantitative data refers to:

a. statistical analysis

b. graphs and tables.

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

d. any data you present in your report

15 / 60

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

a. Positive correlation

b. Perfect negative correlation

c. Perfect positive correlation

d. Negative correlation

16 / 60

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

a. the slope

b. usually denoted by y

c. the independent variable

d. the dependent variable

17 / 60

A scatter plot?

a. Shows a (negative or positive) relationship or correlation between 2 variables and how they interact

b. Is useful in comparing differences in magnitude of different variables

c. Is used to compare parts to the whole or to compare the total with each part or percentage

d. Shows a continuous relationship between two variables over time

18 / 60

Correlation analysis aims at :

a. Establishing relation between two variables

b. Measuring the extent of relation between two variables

c. Investigate cause of outcome

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

19 / 60

The most commonly used formula to describe linear relationship is?

a. ŷ = b0 + b1x

b. ŷ = b0 + b1x2

c. ŷ = b0 + b1x + b2x2

d. ŷ = b0 + b1x+b2

20 / 60

If two variables have a correlation coefficient of .30, what percentage of one variable is
accounted for by the other variable?

a. 9%

b. 30%

c. 10%

d. 70%

21 / 60

The correlation coefficient is used to determine:

a. The estimation parameter

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

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

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

22 / 60

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

a. Less than 1

b. Minimum (Least)

c. Maximum

d. Zero

23 / 60

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

a. must also be equal to 1

b. must be -1

c. can be either -1 or +1

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

24 / 60

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

a. Minimum

b. Negative

c. Positive

d. Zero

25 / 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 strong relationship between the two variables

c. There is a relationship between the two variables

d. There is a weak relationship between the two variables

26 / 60

In simple linear regression model Y = α + βX + ε where α and β are called

a. Estimates

b. Variables

c. Random errors

d. Parameters

27 / 60

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

a. Linear regression statistics

b. Inferential statistics

c. Part of experimental studies

d. Descriptive statistics

28 / 60

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

a. assess whether two variables measure the same phenomenon.

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

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

d. measure the difference between two variables.

29 / 60

In regression analysis, the variable that is being predicted is

a. the dependent variable

b. the independent variable

c. slope

d. usually denoted by x

30 / 60

A discrete variable is:

a. An example of a qualitative variable

b. Can assume only whole number values

c. Can assume only certain clearly separated values

d. Can have two values

31 / 60

The value of the coefficient of determination (r2) ranges between

a. -1 to +1

b. -1 to 0

c. 0 to +1

d. 1 to infinity

32 / 60

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

a. Strong evidence to reject the null hypothesis

b. Reject the null hypothesis

c. Fail to reject the null hypothesis

d. Statistically significant

33 / 60

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

a. Slope

b. Intercept

c. Error

d. Regression equation

34 / 60

A perfect positive correlation is signified by:

a. 0

b. +1

c. -1

d. -1 to +1

35 / 60

A scatterplot is a ?

a. two-dimensional graph of a curved line.

b. one-dimensional graph of randomly scattered data.

c. two-dimensional graph of a straight line.

d. two-dimensional graph of data values.

36 / 60

Which of the following statements is true regarding a sample?

a. It must contain at least five observations

b. It is a part of population

c. It refers to descriptive statistics

d. It refers to estimation

37 / 60

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

a. Negative

b. Zero

c. Positive

d. Weak

38 / 60

The coefficient of determination, r2, indicates:

a. How closely the data fit a defined curve

b. The linear relationship between two variables

c. The sum of the residuals from each data point

d. The slope of the line of best fit

39 / 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. Unknown

d. Minimum

40 / 60

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

a. Upward direction

b. Opposite direction

c. Same direction

d. Downward direction

41 / 60

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

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

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

c. the findings can be generalized to other social phenomena

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

42 / 60

The dependent variable is also called except one:

a. Independent variable

b. Regressand variable

c. Explained variable

d. Predictand variable

43 / 60

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

a. Inferential statistics

b. Regression statistics

c. Correlated statistics

d. Descriptive statistics

44 / 60

The regression equation always passes through:

a. Mean X

b. mean X, Mean Y

c. (X, Y)

d. (a, b)

45 / 60

The null hypothesis states the means are:

a. Alternative hypothesis

b. Equal

c. Research hypothesis

d. Not equal

46 / 60

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

a. the mean of the means.

b. the expected value

c. the central limit.

d. the standard error.

47 / 60

The signs of regression coefficients and correlation coefficient are always:

a. Positive

b. Same

c. Negative

d. Different

48 / 60

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

a. must be positive

b. must be negative

c. is 0.6561

d. could be either + 0.9 or – 0.9

49 / 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 have values from –1 to 1.

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

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

50 / 60

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

a. Dependent

b. Difficult to tell

c. Independent and dependent

d. Independent

51 / 60

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

a. 0.25

b. 1.00

c. 0.10

d. 2.50

52 / 60

The coefficient of determination (r2) is

a. 100%

b. the square root of the correlation coefficient

c. the correlation coefficient squared

d. usually less than zero

53 / 60

Inferential statistics enable you to (Except one):

a. decide if your research results are meaningful.

b. decide if the research hypothesis is true

c. decide if the null hypothesis is false

d. estimate population parameters.

54 / 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. 64%

b. 80%

c. 0.64%

d. 0.80%

55 / 60

When there is no linear correlation between two variables, what will the value of r be?

a. Negative number

b. +1

c. -1

d. 0

56 / 60

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

a. Sum of residual

b. Difficult to tell

c. Intercept

d. Slope

57 / 60

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

a. can be any units

b. must also be in kilograms

c. must be in some unit of weight

d. cannot be in kilograms

58 / 60

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

a. independent variable

b. parameter

c. y intercept

d. slope of the line

59 / 60

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

a. Cross-sectional study

b. Case report

c. Randomized clinical trial

d. Focus group

60 / 60

Internal “validity” refers to:

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

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

c. how accurately the measurements represent underlying concepts.

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

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Statistique Et Méthodologie De La Recherche Test

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