Statistique Et Méthodologie De La Recherche Test

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1 / 60

The term regression was used by:

a. Galton

b. Spearman

c. Newton

d. Pearson

2 / 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

3 / 60

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

a. Different

b. Same

c. Zero

d. Positive

4 / 60

If the points on the scatter diagram show no tendency either to increase together or decrease together the value of r will be close to:

a. 0.5

b. 0

c. -1

d. +1

5 / 60

To compare three independent means we use:

a. t-test

b. Oneway ANOVA

c. Chi-squared test

d. F-test

6 / 60

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

a. 2.50

b. 1.00

c. 0.10

d. 0.25

7 / 60

A scatterplot is a ?

a. two-dimensional graph of a straight line.

b. one-dimensional graph of randomly scattered data.

c. two-dimensional graph of a curved line.

d. two-dimensional graph of data values.

8 / 60

The signs of regression coefficients and correlation coefficient are always:

a. Different

b. Positive

c. Same

d. Negative

9 / 60

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

a. Correlation is the same as regression

b. Regression enables prediction of the dependent variable

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

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

10 / 60

In correlation both variables are always?

a. different

b. same

c. Random

d. Non Random

11 / 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. Zero

b. Maximum

c. Minimum

d. Unknown

12 / 60

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

a. Data mapping

b. Data mining

c. Data analysis

d. Data trending

13 / 60

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

a. y intercept

b. parameter

c. independent variable

d. slope of the line

14 / 60

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

a. response, or dependent, variable

b. independent variable

c. is usually x

d. intervening variable

15 / 60

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

a. There is a relationship between the two variables

b. There is a strong relationship between the two variables

c. There is a weak relationship between the two variables

d. There is no relationship between the two variables

16 / 60

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

a. Negative

b. Zero

c. Undecided

d. Positive

17 / 60

Which of the following statements is true regarding a sample?

a. It refers to descriptive statistics

b. It refers to estimation

c. It must contain at least five observations

d. It is a part of population

18 / 60

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

a. test a hypothesis

b. Estimating a statistic.

c. analyze relationships

d. Estimating a parameter

19 / 60

The null hypothesis states the means are:

a. Research hypothesis

b. Equal

c. Alternative hypothesis

d. Not equal

20 / 60

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

a. -1 ≤ r ≤ 1

b. -1 ≤ r

c. 0 ≤ r ≤ 1

d. r ≥ 1

21 / 60

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

a. 1 to infinity

b. 0 to +1

c. -1 to +1

d. -1 to 0

22 / 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. Chi-square

c. ANCOVA

d. ANOVA

23 / 60

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

a. Dependent variable

b. Independent variable

c. X-intercept

d. Y-intercept

24 / 60

The two forms of t-test are:

a. Independent and dependent

b. One-way and two-way

c. Factorial and interaction

d. Bivariate and multiple

25 / 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. 22

b. 20

c. 21

d. 19

26 / 60

Two variables have a positive association when?

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

27 / 60

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

a. Zero

b. One

c. Positive

d. Negative

28 / 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. estimate population parameters.

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 –1 to -2.

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

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

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

30 / 60

Relationship between correlation coefficient and coefficient of determination is that?

a. both are equal

b. both are unrelated

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

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

31 / 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 be in some unit of weight

d. must also be in kilograms

32 / 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 large correlation coefficient

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

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

33 / 60

If the slope of the regression equation y = bo + b1x is positive, then

a. as x increases y decreases

b. as x increases y increases

c. as x decrease y decreases

d. as x decrease y increases

34 / 60

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

a. Randomized clinical trial

b. Case report

c. Cross-sectional study

d. Focus group

35 / 60

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

a. -1 and +1

b.  -0-.5 and +0.5

c. -1 and 0

d. 0 and 1

36 / 60

The coefficient of correlation

a. is the square root of the coefficient of determination

b. is the coefficient of determination squared

c. can never be positive

d. can never be negative

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. 0 ≤ r ≤ 1

b. r ≥ 0

c. r = -1

d. r = +1

38 / 60

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

a. Inference

b. Partial correlation analysis

c. Correlation analysis

d. Regression analysis

39 / 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

40 / 60

Correlation analysis is used to:

a. Predict values of y based on values of x

b. Analyse data

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

d. Measure the strength of association between two variables

41 / 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

42 / 60

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

a. Probability

b. Significance

c. Descriptive

d. Unbiased

43 / 60

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

a. less than zero

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

c. any value larger than 1

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

44 / 60

A discrete variable is:

a. Can have two values

b. Can assume only whole number values

c. An example of a qualitative variable

d. Can assume only certain clearly separated values

45 / 60

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

a. Same direction

b. Downward direction

c. Upward direction

d. Opposite direction

46 / 60

When correlation coefficient is 1, all the points in a scatter diagram would lie?

a. On a straight line directed from lower left to upper right

b. On a straight line

c. On a straight line directed from upper left to lower right

d. Under the line

47 / 60

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

a. Linear regression statistics

b. Descriptive statistics

c. Inferential statistics

d. Part of experimental studies

48 / 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 correlation model

d. the sample size

49 / 60

Scatter diagram helps us to :

a. Compute the extent of correlation between two variables

b. Obtain the mathematical relationship between two variables

c. Find the nature correlation between two variables

d. Calculate slop

50 / 60

Correlation analysis aims at :

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

b. Investigate cause of outcome

c. Measuring the extent of relation between two variables

d. Establishing relation between two variables

51 / 60

Inferential statistics enable you to :

a. calculate sample size.

b. estimate sample size

c. decide collecting data

d. decide if the research hypothesis is true

52 / 60

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

a. Slope

b. Intercept

c. Regression equation

d. Error

53 / 60

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

a. Negative correlation

b. Perfect negative correlation

c. Positive correlation

d. Perfect positive correlation

54 / 60

1. 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:

a. Maximum

b. Positive

c. Zero

d. Minimum

55 / 60

A t-test is used to compare:

a. 2 means

b. 4 means

c. 5 means

d. 3 means

56 / 60

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

a. +1

b. Negative number

c. 0

d. -1

57 / 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. 80%

b. 0.64%

c. 64%

d. 0.80%

58 / 60

A Type I error occurs when the null hypothesis is:

a. rejected and null hypothesis is actually true.

b. Rejected and the research hypothesis is actually false.

c. accepted but and research hypothesis is actually true.

d. accepted and null hypothesis is actually true.

59 / 60

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

a. Minimum (Least)

b. Maximum

c. Zero

d. Less than 1

60 / 60

An r value of 0.80 indicates:

a. Perfect linear correlation

b. No linear correlation

c. Correlation but not linear

d. Strong linear correlation

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Statistique Et Méthodologie De La Recherche Test

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