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

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

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

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

5) The value we would predict for the dependent variable when the independent variables are all
equal to zero is called:

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

7) Two variables have a positive association when?

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

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

10) Which part of written report that can answer the research question?

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

12) Which of the following statements is false?

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

14) In correlation both variables are always?

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

16) In regression analysis, the variable that is being predicted is

17) If a study is “reliable”, this means that:

18) The correlation coefficient is used to determine:

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

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

21)

22) If you have 20 pairs of subjects what would be the degrees of freedom for a test of correlation
between the groups of scores?

23) The most commonly used formula to describe linear relationship is?

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

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

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

27) R2 is used in regression analysis to:

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

29) Quantitative data refers to:

30) Internal “validity” refers to:

31) The dependent variable is also called except one:

32) A scatterplot is a ?

33) To compare two means we use:

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

35) If the plotted points in a scatter diagram lie from upper left to lower right, then the correlation
is :

36) Inferential statistics are useful for:

37)

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

39) Correlation analysis is used to:

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

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

42) If the correlation coefficient is 0.8, the percentage of variation in the response variable explained
by the variation in the explanatory variable is:

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

44) 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:

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

46) Relationship between correlation coefficient and coefficient of determination is that?

47) The term regression was used by:

48) The coefficient of correlation

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

50) Which of the following statements is true?

51) Which of the following are examples of continuous variables?

52)

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

54) The signs of regression coefficients and correlation coefficient are always:

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

56) All data points falling along a straight line is called:

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

58) When the p-value is less than 0.05 we can conclude that:

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

60) A perfect positive correlation is signified by:

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

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

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

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

65) Inferential statistics enable you to :

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

67) Correlation analysis aims at :

68) An r value of 0.80 indicates:

69) Inferential statistics enable you to (Except one):

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

71) In the regression equation y = bo + b1x1, b1 is the

72) In descriptive statistics our main objective is to:

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

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

75) Scatter diagram helps us to :

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

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

78) In simple regression equation, the numbers of variables involved are:

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

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

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

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

83) The two forms of t-test are:

84) The null hypothesis states the means are:

85) A Type I error occurs when the null hypothesis is:

86) In regression analysis, if the independent variable is measured in kilograms, the dependent
variable:

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

88)

89) 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:

90) Which of the following statements is true regarding a sample?

91) To compare three independent means we use:

92) A discrete variable is:

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

94) Which Statistical software come with appropriate table, graph, and/or chart-building
features to easily convert tabular data into a variety of formats.?

95) When the p-value is greater than 0.05 we can conclude that:

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

97)

98) Inferential statistics enable you to :

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

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

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

102) Bivariate Data are the data collected for :

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

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

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

106) A scatter plot?

107) The coefficient of determination, r2, indicates:

108)

109) The range of regression coefficient is:

110) Scatter diagram is considered for measuring :

111)

112) A t-test is used to compare:

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

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

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

116) The null hypothesis states the means are:

117) Correlation and regression are concerned with ?

118) To investigate the association between two categorical variables we use:

119) The step in the data analysis process is (EXCEPT ONE):

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

121)

122) A qualitative variable:

123)

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

125) Computers are essential for quantitative data analysis because?

126) The coefficient of determination is the?

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

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

129) The coefficient of determination (r2) is

130) The regression equation always passes through:

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

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

133) The mean of a sampling distribution of a sample statistic is called :

134) The purpose of simple linear regression analysis is to:

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

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

137)

138) In simple linear regression model Y = α + βX + ε where α and β are called

139) 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

140)

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

142) 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:

143) 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’: