Statistique Et Méthodologie De La Recherche Test

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1 / 60

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

a. Sample size

b. Coefficient of Correlation

c. Coefficient of Determination

d. Standard error of estimate

2 / 60

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

a. Zero

b. Minimum (Least)

c. Maximum

d. Less than 1

3 / 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 Skewness

c. Standard Error or Estimate

d. Coefficient of Correlation

4 / 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. graphs and tables.

c. any data you present in your report

d. statistical analysis

5 / 60

The range of regression coefficient is:

a. 0 to ∞

b. -1 to +1

c. -∞ to +∞

d. 0 to 1

6 / 60

A scatter plot?

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

b. Shows a continuous relationship between two variables over time

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

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

7 / 60

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

a. as x increases y increases

b. as x increases y decreases

c. as x decrease y decreases

d. as x decrease y increases

8 / 60

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

a. -1 to 0

b. 0 to +1

c. 1 to infinity

d. -1 to +1

9 / 60

In scatter diagram, if most of the points lie in the first and third quadrants, then coefficient of correlation is:

a. Negative

b. Zero

c. Positive

d. Constant

10 / 60

Which of the following are examples of continuous variables?

a. Birth weight of babies

b. Age in year

c. Distance between

d. Number of children

11 / 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. Regression

c. Residual

d. Slope

12 / 60

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

a. Continuous variable

b. Estimate

c. Dependent variable

d. Independent variable

13 / 60

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

a. analysis of variance

b. β

c. Pearson correlation coefficient

d. significance level

14 / 60

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

a. One

b. Negative

c. Positive

d. Zero

15 / 60

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

a. b ≠ 0

b. b = 0

c. b = 1

d. a = b

16 / 60

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

a. Estimating a parameter

b. test a hypothesis

c. Estimating a statistic.

d. analyze relationships

17 / 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 = -1

c. 0 ≤ r ≤ 1

d. r ≥ 0

18 / 60

The term regression was used by:

a. Galton

b. Pearson

c. Spearman

d. Newton

19 / 60

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

a. Zero

b. Different

c. Same

d. Positive

20 / 60

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

a. 17

b. 21

c. 13

d. 4

21 / 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

22 / 60

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

a. response, or dependent, variable

b. is usually x

c. intervening variable

d. independent variable

23 / 60

The regression equation always passes through:

a. mean X, Mean Y

b. Mean X

c. (a, b)

d. (X, Y)

24 / 60

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

a. Dependent variable

b. Independent variable

c. X-intercept

d. Y-intercept

25 / 60

Scatter diagram helps us to :

a. Calculate slop

b. Obtain the mathematical relationship between two variables

c. Find the nature correlation between two variables

d. Compute the extent of correlation between two variables

26 / 60

To compare two means we use:

a. Oneway ANOVA

b. Chi-squared test

c. t-test

d. F-test

27 / 60

The coefficient of determination, r2, indicates:

a. The sum of the residuals from each data point

b. The slope of the line of best fit

c. The linear relationship between two variables

d. How closely the data fit a defined curve

28 / 60

The purpose of simple linear regression analysis is to:

a. Obtain the expected value of the independent variable

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

c. Predict one variable from another variable

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

29 / 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. 19

b. 21

c. 22

d. 20

30 / 60

In correlation both variables are always?

a. different

b. same

c. Non Random

d. Random

31 / 60

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

a. the correlation model

b. the sample size

c. the regression model

d. used to compute the correlation coefficient

32 / 60

Inferential statistics are useful for:

a. Interviews

b. Observing natural behavior

c. Determining the probability of something

d. Construct validity

33 / 60

In the regression equation Y = a + bX, where a and b are called:

a. Constants

b. Parameters

c. Intercept and slope

d. Estimates

34 / 60

The coefficient of determination (r2) is

a. 100%

b. the correlation coefficient squared

c. the square root of the correlation coefficient

d. usually less than zero

35 / 60

The null hypothesis states the means are:

a. Alternative hypothesis

b. Not equal

c. Research hypothesis

d. Equal

36 / 60

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

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

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

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

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

37 / 60

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

a. must be -1

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

c. can be either -1 or +1

d. must also be equal to 1

38 / 60

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

a. is 0.6561

b. could be either + 0.9 or – 0.9

c. must be positive

d. must be negative

39 / 60

Relationship between correlation coefficient and coefficient of determination is that?

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

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

c. both are unrelated

d. both are equal

40 / 60

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

a. Upward direction

b. Same direction

c. Opposite direction

d. Downward direction

41 / 60

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

a. 1

b. 0.5

c. 0

d. 5

42 / 60

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

a. 2.5

b. -2.5

c. 3.4

d. -3.4

43 / 60

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

a. -2

b. -0.2

c. 0.2X

d. 2

44 / 60

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

a. Correlated statistics

b. Descriptive statistics

c. Inferential statistics

d. Regression statistics

45 / 60

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

a. Oral presentation

b. The format for referencing

c. Whether an abstract should be included

d. The size of the study

46 / 60

To investigate the association between two categorical variables we use:

a. t-test

b. z-test

c. F-test

d. Chi-squared test

47 / 60

Which of the following statements is false?

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

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 can be applied to any straight line.

48 / 60

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

a. the independent variable

b. the dependent variable

c. usually denoted by y

d. the slope

49 / 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. Minimum

c. Positive

d. Zero

50 / 60

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

a. There is large correlation coefficient

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

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

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

51 / 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

52 / 60

Computers are essential for quantitative data analysis because?

a. they are so powerful

b. they are fun to use.

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

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

53 / 60

All data points falling along a straight line is called:

a. Linear relationship

b. Scatter diagram

c. Non linear relationship

d. Residual

54 / 60

When regression line passes through the origin, then:

a. Intercept is zero

b. Regression coefficient is zero

c. Association is zero

d. Correlation is zero

55 / 60

In descriptive statistics our main objective is to:

a. Describe the population

b. Draw conclusion

c. Infer something about the population

d. Describe the data we collected

56 / 60

In regression analysis, the variable that is being predicted is

a. slope

b. the dependent variable

c. the independent variable

d. usually denoted by x

57 / 60

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

a. parameter

b. slope of the line

c. independent variable

d. y intercept

58 / 60

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

a. 30%

b. 70%

c. 9%

d. 10%

59 / 60

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

a. There is a strong relationship between the two variables

b. There is a weak relationship between the two variables

c. There is no relationship between the two variables

d. There is a relationship between the two variables

60 / 60

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

a. Data mining

b. Data trending

c. Data mapping

d. Data analysis

Your score is

The average score is 86%

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Statistique Et Méthodologie De La Recherche Test

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