Statistique Et Méthodologie De La Recherche Test

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1 / 60

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

a. The f-value

b. The p-value

c. The t-value

d. R2

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

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

3 / 60

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

a. coefficient of determination

b. slope of the regression

c. standard error

d. mean square error

4 / 60

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

a. 1

b. 0

c. 0.5

d. 5

5 / 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

6 / 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. Measure the degree to which two variables are linearly associated

d. Predict one variable from another variable

7 / 60

The term regression was used by:

a. Spearman

b. Pearson

c. Galton

d. Newton

8 / 60

To investigate the association between two categorical variables we use:

a. F-test

b. z-test

c. Chi-squared test

d. t-test

9 / 60

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

a. Estimate

b. Continuous variable

c. Independent variable

d. Dependent variable

10 / 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

11 / 60

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

a. X-intercept

b. Dependent variable

c. Y-intercept

d. Independent variable

12 / 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. Unknown

c. Minimum

d. Zero

13 / 60

Correlation analysis aims at :

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

b. Investigate cause of outcome

c. Establishing relation between two variables

d. Measuring the extent of relation between two variables

14 / 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. used to compute the correlation coefficient

d. the regression model

15 / 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. +1

b. 0

c. 0.5

d. -1

16 / 60

If the correlation coefficient is a positive value, then the slope of the regression line:

a. can be zero

b. can be either negative or positive

c. can not be zero

d. must also be positive

17 / 60

A discrete variable is:

a. Can assume only certain clearly separated values

b. Can assume only whole number values

c. An example of a qualitative variable

d. Can have two values

18 / 60

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

a. Correlation analysis

b. Inference

c. Partial correlation analysis

d. Regression analysis

19 / 60

What does it mean when you calculate a 95% confidence interval?

a. You can be “95% confident” that your interval will include the population parameter

b. The sample result is between this interval

c. You can be “5% confident” that your interval will not include the population parameter

d. The process you used will capture the true parameter 95% of the time in the long run

20 / 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

21 / 60

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

a. Zero

b. Positive

c. Same

d. Different

22 / 60

Quantitative data refers to:

a. statistical analysis

b. any data you present in your report

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

d. graphs and tables.

23 / 60

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

a. Negative number

b. -1

c. 0

d. +1

24 / 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 correlation coefficient is 0.39 also

b. The relationship between two variables is negative

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

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

25 / 60

The null hypothesis states the means are:

a. Research hypothesis

b. Not equal

c. Alternative hypothesis

d. Equal

26 / 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. Constant

d. Positive

27 / 60

Inferential statistics enable you to :

a. estimate population parameters.

b. decide conducting interview

c. decide conducting research

d. decide analysis data

28 / 60

Correlation and regression are concerned with ?

a. the relationship between two categorical variables.

b. the relationship between a categorical explanatory variable and a quantitative response variable.

c. the relationship between two quantitative variables.

d. the relationship between a quantitative explanatory variable and a categorical response variable.

29 / 60

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

a. Case report

b. Cross-sectional study

c. Focus group

d. Randomized clinical trial

30 / 60

Computers are essential for quantitative data analysis because?

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

b. they are so powerful

c. they are fun to use.

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

31 / 60

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

a. b = 1

b. b = 0

c. a = b

d. b ≠ 0

32 / 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

33 / 60

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

a. Regression enables prediction of the dependent variable

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

c. Correlation is the same as regression

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

34 / 60

Internal “validity” refers to:

a. how accurately the measurements represent underlying concepts.

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

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

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

35 / 60

In descriptive statistics our main objective is to:

a. Describe the population

b. Draw conclusion

c. Describe the data we collected

d. Infer something about the population

36 / 60

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

a. Opposite direction

b. Downward direction

c. Upward direction

d. Same direction

37 / 60

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

a. Estimates

b. Intercept and slope

c. Constants

d. Parameters

38 / 60

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

a. usually denoted by y

b. the dependent variable

c. the slope

d. the independent variable

39 / 60

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

a. Strong

b. Perfect negative

c. Perfect correlation

d. Weak

40 / 60

The percent of total variation of the dependent variable Y explained by the set of independent variables X is measured by

a. Standard Error or Estimate

b. Coefficient of Skewness

c. Coefficient of Determination

d. Coefficient of Correlation

41 / 60

Two variables have a positive association when?

a. the values of both variables are always positive.

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

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 irregard less of how the values of the other variable change.

42 / 60

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

a. Coefficient of Correlation

b. Standard error of estimate

c. Sample size

d. Coefficient of Determination

43 / 60

To compare three independent means we use:

a. Oneway ANOVA

b. F-test

c. Chi-squared test

d. t-test

44 / 60

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

a. Independent

b. Dependent

c. Independent and dependent

d. Difficult to tell

45 / 60

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

a. Intercept

b. Slope

c. Slope and Regression coefficient

d. Regression coefficient

46 / 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 0 to 1.

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

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

47 / 60

A Type I error occurs when the null hypothesis is:

a. accepted and null hypothesis is actually true.

b. accepted but and research hypothesis is actually true.

c. Rejected and the research hypothesis is actually false.

d. rejected and null hypothesis is actually true.

48 / 60

The coefficient of determination (r2) is

a. usually less than zero

b. the correlation coefficient squared

c. 100%

d. the square root of the correlation coefficient

49 / 60

Which of the following statements is false?

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

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 have values from –1 to 1.

d. The coefficient of determination can be applied to any straight line.

50 / 60

Bivariate Data are the data collected for :

a. Two variables at different points of time.

b. More than two variables

c. Two variables

d. Two variables at the same point of time

51 / 60

The most commonly used formula to describe linear relationship is?

a. ŷ = b0 + b1x

b. ŷ = b0 + b1x+b2

c. ŷ = b0 + b1x + b2x2

d. ŷ = b0 + b1x2

52 / 60

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

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

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

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

d. There is large correlation coefficient

53 / 60

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

a. Slope

b. Intercept

c. Regression equation

d. Correlation coefficient

54 / 60

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

a. Correlation coefficient of X on Y

b. Correlation coefficient of Y on X

c. Regression coefficient of X on Y

d. Regression coefficient of Y on X

55 / 60

Scatter diagram is considered for measuring :

a. Predict dependent variable

b. Predict independent variable

c. Curvilinear relationship between two variables

d. Linear relationship between two variables

56 / 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

57 / 60

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

a. Part of experimental studies

b. Linear regression statistics

c. Inferential statistics

d. Descriptive statistics

58 / 60

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

a. -1

b. +1

c. 0

d. r

59 / 60

Inferential statistics enable you to :

a. estimate sample size

b. calculate sample size.

c. decide collecting data

d. decide if the research hypothesis is true

60 / 60

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

a. Four

b. Three

c. One

d. Two

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Statistique Et Méthodologie De La Recherche Test

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