Unit 5 - Practice Quiz

1 What is the primary purpose of Correlation Analysis in research?

2 Which of the following values represents the strongest correlation?

3 The correlation coefficient () always lies between which range?

4 If an increase in variable is accompanied by a decrease in variable , the correlation is said to be:

5 Which of the following is a key assumption of Pearson's Correlation Coefficient?

6 What is the term for the condition where the variability of variable is constant across all values of variable ?

7 In a scatter plot, if the data points are widely scattered in a cloud shape with no apparent trend, the correlation coefficient is likely close to:

8 The Coefficient of Determination is denoted by:

9 If , what percentage of the variation in is explained by the variation in ?

10 Which correlation technique is most appropriate for data measured on an Ordinal (ranked) scale?

11 The Spearman Rank Correlation Coefficient is usually denoted by the Greek letter:

12 The formula for Spearman's Rank Correlation involves calculating . What does represent?

13 Unlike Pearson correlation, Spearman correlation measures the strength of a ____ relationship.

14 Which of the following indicates a Perfect Positive Correlation?

15 Pearson's correlation coefficient is highly sensitive to:

16 In the context of regression, the variable being predicted is called the:

17 The simple linear regression equation is typically written as . What does represent?

18 In the equation , what does the term represent?

19 The 'Line of Best Fit' in regression analysis is determined using the method of:

20 A residual in regression analysis is defined as:

21 If the regression coefficient is negative, it implies that:

22 Which of the following is NOT an assumption of Linear Regression?

23 If two variables are independent, the value of the correlation coefficient will be:

24 The term bivariate analysis refers to:

25 In the Spearman correlation formula , what does represent?

26 Which statement regarding Correlation and Regression is correct?

27 When both variables are quantitative (Interval/Ratio) and normally distributed, which correlation coefficient is best?

28 The Standard Error of Estimate measures:

29 If the regression line is , what is the predicted value of when ?

30 What is the effect of changing the origin (adding a constant) on the Pearson correlation coefficient?

31 In a regression analysis, the variable is also known as the:

32 Which of the following implies that data points lie exactly on a straight line with a negative slope?

33 The regression lines of on and on intersect at which point?

34 If the slope of the regression line () is $0$, what is the value of the correlation coefficient ()?

35 Covariance is a measure of:

36 Which correlation is generally used when the data contains ties in ranks?

37 The concept that correlation might be observed between two variables that are actually influenced by a third, unseen variable is called:

38 If , the standard error of the estimate is:

39 Which plot is essentially the first step in analyzing the relationship between two quantitative variables?

40 In the regression equation , the term is read as:

41 If the correlation coefficient is $0.5$, the relationship is considered:

42 The arithmetic mean of the residuals () in a least-squares regression is always:

43 Which of the following is an example of a curvilinear relationship?

44 To calculate Pearson's , the covariance of and is divided by:

45 Extrapolation in regression refers to:

46 If is the regression coefficient of on , and is the regression coefficient of on , then the geometric mean of and is equal to:

47 When interpreting a correlation coefficient, a value of suggests:

48 Spearman's correlation is a non-parametric test. This means:

49 In the regression model , what does represent?

50 Which of the following scenarios allows for the calculation of a correlation coefficient?