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

2) Quantitative data refers to:

3) Which of the following statements is true?

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

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

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

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

8) The term regression was used by:

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

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

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

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

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

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

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

17) Correlation analysis is used to:

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

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

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

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

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

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

25) The coefficient of determination, r2, indicates:

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

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

28) Which of the following statements is false?

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

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

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

32) A scatterplot is a ?

33) An r value of 0.80 indicates:

34) To compare three independent means we use:

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

36) In descriptive statistics our main objective is to:

37) R2 is used in regression analysis to:

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

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

41) Inferential statistics enable you to :

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

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

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

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

46) A discrete variable is:

47) Internal “validity” refers to:

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

49) Computers are essential for quantitative data analysis because?

50) Inferential statistics are useful for:

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

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

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

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

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

57) 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:

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

59) In correlation both variables are always?

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

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

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

63) 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:

64) 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

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

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

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

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

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

70) A scatter plot?

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

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

74) Bivariate Data are the data collected for :

75) The regression equation always passes through:

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

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

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

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

80) The range of regression coefficient is:

81) 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’:

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

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

84) The dependent variable is also called except one:

85) Inferential statistics enable you to :

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

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

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

90) A t-test is used to compare:

91) The coefficient of determination is the?

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

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

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

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

97) The two forms of t-test are:

99) Correlation and regression are concerned with ?

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

101) To compare two means we use:

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

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

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

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

107) The null hypothesis states the means are:

109) The coefficient of correlation

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

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

113) A qualitative variable:

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

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

116) 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:

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

118) The null hypothesis states the means are:

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

120) Scatter diagram helps us to :

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

122) The correlation coefficient is used to determine:

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

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

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

126) The coefficient of determination (r2) is

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

128) A perfect positive correlation is signified by:

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

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

131) Two variables have a positive association when?

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

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

134) Correlation analysis aims at :

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

136) Scatter diagram is considered for measuring :

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

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

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

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

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

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

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