Statistique Et Méthodologie De La Recherche Test

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1 / 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 explained deviation.

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

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

2 / 60

Internal “validity” refers to:

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

b. how accurately the measurements represent underlying concepts.

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

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

3 / 60

The range of regression coefficient is:

a. 0 to ∞

b. -1 to +1

c. -∞ to +∞

d. 0 to 1

4 / 60

Quantitative data refers to:

a. graphs and tables.

b. statistical analysis

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

5 / 60

If all the plotted points in a scatter diagram lie on a single line, then the correlation is :

a. Weak

b. Strong

c. Perfect negative

d. Perfect correlation

6 / 60

A procedure used to select a sample of n objects from a population in such a way that each
member of the population is chosen strictly by chance, each member of the population is equally
likely to be chosen, and every possible sample of a given size, n, has the same chance of selection
is known as:

a. statistical thinking.

b. descriptive statistics.

c. statistical analysis.

d. Simple random sampling

7 / 60

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

a. The relationship between two variables is weak.

b. The relationship between two variables is strong and positive

c. Correlation coefficient cannot have this value

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

8 / 60

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

a. Independent and dependent

b. Independent

c. Difficult to tell

d. Dependent

9 / 60

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

a. Same

b. Zero

c. Different

d. Positive

10 / 60

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

a. Same direction

b. Upward direction

c. Downward direction

d. Opposite direction

11 / 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 is the variation in y explained by variation in x, divided by the total variation in y.

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

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

12 / 60

A discrete variable is:

a. An example of a qualitative variable

b. Can assume only whole number values

c. Can have two values

d. Can assume only certain clearly separated values

13 / 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. Positive correlation

c. Negative correlation

d. Perfect negative correlation

14 / 60

The null hypothesis states the means are:

a. Not equal

b. Equal

c. Research hypothesis

d. Alternative hypothesis

15 / 60

In simple linear regression, the numbers of unknown constants are:

a. One

b. Four

c. Two

d. Three

16 / 60

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

a. parameter

b. independent variable

c. y intercept

d. slope of the line

17 / 60

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

a. test a hypothesis

b. Estimating a parameter

c. Estimating a statistic.

d. analyze relationships

18 / 60

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

a. Unbiased

b. Significance

c. Descriptive

d. Probability

19 / 60

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

a. independent variable

b. response, or dependent, variable

c. is usually x

d. intervening variable

20 / 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

21 / 60

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

a. the slope

b. the independent variable

c. the dependent variable

d. usually denoted by y

22 / 60

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

a. -3.4

b. 2.5

c. 3.4

d. -2.5

23 / 60

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

a. slope of the regression

b. coefficient of determination

c. mean square error

d. standard error

24 / 60

A t-test is used to compare:

a. 2 means

b. 3 means

c. 4 means

d. 5 means

25 / 60

Inferential statistics enable you to :

a. decide analysis data

b. estimate population parameters.

c. decide conducting interview

d. decide conducting research

26 / 60

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

a. 10%

b. 30%

c. 70%

d. 9%

27 / 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. Residual

c. Slope

d. Regression

28 / 60

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

a. Maximum

b. Zero

c. Minimum (Least)

d. Less than 1

29 / 60

A perfect positive correlation is signified by:

a. +1

b. -1

c. -1 to +1

d. 0

30 / 60

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

a. Positive

b. Negative

c. Weak

d. Zero

31 / 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 both variables are always positive.

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

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

32 / 60

Which of the following are examples of continuous variables?

a. Number of children

b. Birth weight of babies

c. Age in year

d. Distance between

33 / 60

The most commonly used formula to describe linear relationship is?

a. ŷ = b0 + b1x

b. ŷ = b0 + b1x+b2

c. ŷ = b0 + b1x2

d. ŷ = b0 + b1x + b2x2

34 / 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. Positive

b. Maximum

c. Zero

d. Minimum

35 / 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

36 / 60

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

a. must be negative

b. is 0.6561

c. must be positive

d. could be either + 0.9 or – 0.9

37 / 60

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

a. r ≥ 1

b. -1 ≤ r ≤ 1

c. -1 ≤ r

d. 0 ≤ r ≤ 1

38 / 60

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

a. Pie diagram

b. Scatter diagram

c. Histogram

d. Historigram

39 / 60

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

a. 21

b. 17

c. 13

d. 4

40 / 60

The regression equation always passes through:

a. Mean X

b. mean X, Mean Y

c. (X, Y)

d. (a, b)

41 / 60

Computers are essential for quantitative data analysis because?

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

b. they are so powerful

c. they are fun to use.

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

42 / 60

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

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

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

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

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

43 / 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

44 / 60

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

a. as x increases y decreases

b. as x decrease y increases

c. as x increases y increases

d. as x decrease y decreases

45 / 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

46 / 60

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

a. Pearson correlation coefficient

b. significance level

c. β

d. analysis of variance

47 / 60

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

a. Inference

b. Regression analysis

c. Correlation analysis

d. Partial correlation analysis

48 / 60

Inferential statistics enable you to :

a. decide collecting data

b. estimate sample size

c. calculate sample size.

d. decide if the research hypothesis is true

49 / 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 smaller than 0

d. b larger than 0

50 / 60

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

a. Inferential statistics

b. Linear regression statistics

c. Descriptive statistics

d. Part of experimental studies

51 / 60

To investigate the association between two categorical variables we use:

a. F-test

b. Chi-squared test

c. t-test

d. z-test

52 / 60

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

a. The f-value

b. R2

c. The p-value

d. The t-value

53 / 60

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

a. 0 and 1

b.  -0-.5 and +0.5

c. -1 and +1

d. -1 and 0

54 / 60

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

a. Data analysis

b. Data trending

c. Data mapping

d. Data mining

55 / 60

An r value of 0.80 indicates:

a. Correlation but not linear

b. No linear correlation

c. Strong linear correlation

d. Perfect linear correlation

56 / 60

In correlation both variables are always?

a. Random

b. same

c. Non Random

d. different

57 / 60

The coefficient of correlation

a. can never be positive

b. is the square root of the coefficient of determination

c. is the coefficient of determination squared

d. can never be negative

58 / 60

In regression analysis, the variable that is being predicted is

a. the independent variable

b. slope

c. usually denoted by x

d. the dependent variable

59 / 60

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

a. 0

b. +1

c. -1

d. r

60 / 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. Under the line

c. On a straight line

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

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Statistique Et Méthodologie De La Recherche Test

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