Statistique Et Méthodologie De La Recherche Test

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1 / 60

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

a. 2

b. -2

c. 0.2X

d. -0.2

2 / 60

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

a. Dependent variable

b. Y-intercept

c. X-intercept

d. Independent variable

3 / 60

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

a. Estimate

b. Independent variable

c. Dependent variable

d. Continuous variable

4 / 60

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

a. y intercept

b. slope of the line

c. parameter

d. independent variable

5 / 60

The two forms of t-test are:

a. Factorial and interaction

b. One-way and two-way

c. Bivariate and multiple

d. Independent and dependent

6 / 60

The purpose of simple linear regression analysis is to:

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

b. Predict one variable from another variable

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

d. Obtain the expected value of the independent variable

7 / 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 Correlation

b. Standard Error or Estimate

c. Coefficient of Skewness

d. Coefficient of Determination

8 / 60

The term regression was used by:

a. Pearson

b. Spearman

c. Newton

d. Galton

9 / 60

The most commonly used formula to describe linear relationship is?

a. ŷ = b0 + b1x + b2x2

b. ŷ = b0 + b1x2

c. ŷ = b0 + b1x

d. ŷ = b0 + b1x+b2

10 / 60

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

a. Intercept and slope

b. Constants

c. Parameters

d. Estimates

11 / 60

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

a. Perfect negative

b. Strong

c. Perfect correlation

d. Weak

12 / 60

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

a. Intercept

b. Error

c. Regression equation

d. Slope

13 / 60

If the value of any regression coefficient is zero, then two variables are:

a. Correlation

b. Independent

c. Qualitative

d. Dependent

14 / 60

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

a. standard error

b. slope of the regression

c. mean square error

d. coefficient of determination

15 / 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 one variable tend to increase as the values of the other variable increase.

c. the values of both variables are always positive.

d. the values of one variable tend to increase irregard less of how the values of the other variable change.

16 / 60

To investigate the association between two categorical variables we use:

a. z-test

b. F-test

c. t-test

d. Chi-squared test

17 / 60

Scatter diagram helps us to :

a. Obtain the mathematical relationship between two variables

b. Calculate slop

c. Find the nature correlation between two variables

d. Compute the extent of correlation between two variables

18 / 60

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

a. 1

b. 0

c. 5

d. 0.5

19 / 60

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

a. Correlation coefficient

b. Slope

c. Regression equation

d. Intercept

20 / 60

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

a. can be either negative or positive

b. must also be positive

c. can be zero

d. can not be zero

21 / 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

22 / 60

Inferential statistics enable you to :

a. estimate population parameters.

b. decide conducting interview

c. decide conducting research

d. decide analysis data

23 / 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

24 / 60

The coefficient of correlation

a. is the square root of the coefficient of determination

b. can never be negative

c. can never be positive

d. is the coefficient of determination squared

25 / 60

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

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

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

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

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

26 / 60

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

a. Positive

b. Zero

c. Constant

d. Negative

27 / 60

Which of the following are examples of continuous variables?

a. Number of children

b. Distance between

c. Age in year

d. Birth weight of babies

28 / 60

In regression analysis, the variable that is being predicted is

a. the independent variable

b. slope

c. the dependent variable

d. usually denoted by x

29 / 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. Zero

c. Minimum

d. Positive

30 / 60

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

a. Historigram

b. Histogram

c. Scatter diagram

d. Pie diagram

31 / 60

A process by which we estimate the value of dependent variable on the basis of one or more
independent variables is called:

a. Slope

b. Correlation

c. Regression

d. Residual

32 / 60

A t-test is used to compare:

a. 2 means

b. 3 means

c. 4 means

d. 5 means

33 / 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. 20

c. 21

d. 22

34 / 60

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

a. Correlation coefficient of Y on X

b. Regression coefficient of Y on X

c. Regression coefficient of X on Y

d. Correlation coefficient of X on Y

35 / 60

The regression equation always passes through:

a. mean X, Mean Y

b. (a, b)

c. Mean X

d. (X, Y)

36 / 60

To compare three independent means we use:

a. Oneway ANOVA

b. F-test

c. Chi-squared test

d. t-test

37 / 60

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

a. 0 and 1

b. -1 and +1

c.  -0-.5 and +0.5

d. -1 and 0

38 / 60

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

a. Linear correlation

b. Positive correlation

c. Nonlinear correlation

d. Negative correlation

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

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

c. The correlation coefficient is 0.39 also

d. The relationship between two variables is negative

40 / 60

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

a. the sample size

b. the correlation model

c. used to compute the correlation coefficient

d. the regression model

41 / 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.

42 / 60

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

a. Less than 1

b. Zero

c. Maximum

d. Minimum (Least)

43 / 60

All data points falling along a straight line is called:

a. Linear relationship

b. Scatter diagram

c. Non linear relationship

d. Residual

44 / 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%

45 / 60

When regression line passes through the origin, then:

a. Correlation is zero

b. Regression coefficient is zero

c. Intercept is zero

d. Association is zero

46 / 60

The straight line graph of the linear equation Y = a + bX, slope will be downward If:

a. b smaller than 0

b. b = 0

c. b ≠ 0

d. b larger than 0

47 / 60

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

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

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

c. assess whether two variables measure the same phenomenon.

d. measure the difference between two variables.

48 / 60

An r value of 0.80 indicates:

a. Correlation but not linear

b. No linear correlation

c. Perfect linear correlation

d. Strong linear correlation

49 / 60

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

a. 4

b. 21

c. 17

d. 13

50 / 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 explained deviation.

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

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

51 / 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. Minimum

b. Zero

c. Maximum

d. Unknown

52 / 60

The null hypothesis states the means are:

a. Not equal

b. Alternative hypothesis

c. Research hypothesis

d. Equal

53 / 60

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

a. Same and opposite direction

b. Opposite direction

c. Same direction

d. Difficult to tell

54 / 60

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

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

b. any value larger than 1

c. less than zero

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

55 / 60

R2 is used in regression analysis to:

a. Measure the amount of variance in the dependent variable explained by variation in the independent variables

b. Measure model fit

c. To determine how well the model works

d. Estimate correlation

56 / 60

2. A relationship where the flow of the data points is best represented by a curve is called:

a. Nonlinear relationship

b. Linear positive

c. Linear relationship

d. Linear negative

57 / 60

If the points on the scatter diagram indicate that as one variable increases the other variable tends to decrease the value of r will be:

a. Negative

b. Perfect negative

c. Perfect positive

d. Zero

58 / 60

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

a. b ≠ 0

b. b = 1

c. b = 0

d. a = b

59 / 60

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

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

b. must be -1

c. can be either -1 or +1

d. must also be equal to 1

60 / 60

Correlation and regression are concerned with ?

a. the relationship between two quantitative variables.

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

c. the relationship between two categorical variables.

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

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Statistique Et Méthodologie De La Recherche Test

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