Correlation Analysis Quiz Newton

(a) Pearson r is a parametric test to measure the relationship of two variables.

(b) Spearman rho is the non-parametric test used to measure the relationship of two variables that cannot be used in a Pearson r analysis

• Only statement (a) is correct.

• Only statement (b) is correct.

• Both statements are correct.

• Both statements are incorrect.

(a) The correlation coefficient numerical value indicates the extent of the direction of relationship.

(b) the sign of the coefficient indicates the extent of the direction of the relationship.

• Only statement (a) is correct.

• Only statement (b) is correct.

• Both statements are correct.

• Both statements are incorrect.

(a) Pearson r requires an assumption a negatively-skewed data to measure the relationship of the variables.

(b) Pearson r is used when measuring the relationship between two ordinal variables.

• Only statement (a) is correct.

• Only statement (b) is correct.

• Both statements are correct.

• Both statements are incorrect.

(a) A dataset with a correlation coefficient of .09 means there is a strong positive relationship between the two variables.

(b) Spearman rho coefficient of -.02 means a very weak, negative relationship.

• Only statement (a) is correct.

• Only statement (b) is correct.

• Both statements are correct.

• Both statements are incorrect.

(a) To check for outliers, the researcher may visualize data through a boxplot or convert each data point to its respective z-score based on the sample.

(b) There are more than four assumptions that must be met when attempting a correlation analysis for Spearman rho.

• Only statement (a) is correct.

• Only statement (b) is correct.

• Both statements are correct.

• Both statements are incorrect.

(a) Outliers through visual inspection is identifiable by fitting a trend line across the data points.

(b) Normal distribution assumption can only be determined by a normality test, such as Shapiro-Wilk.

• Only statement (a) is correct.

• Only statement (b) is correct.

• Both statements are correct.

• Both statements are incorrect.

(a) A correlation analysis with p<.01 and r=.56 is an evidence against the null hypothesis.

(b) A correlation analysis with p=10 and r=-.98 is an evidence against the null hypothesis.

• Only statement (a) is correct.

• Only statement (b) is correct.

• Both statements are correct.

• Both statements are incorrect.

(a) A correlation analysis with p=.04 and rs=.20 is an evidence supporting the alternative hypothesis

(b) A correlation analysis with p=.12 and rs=-.8 is an evidence in failing to reject the null hypothesis.

• Only statement (a) is correct.

• Only statement (b) is correct.

• Both statements are correct.

• Both statements are incorrect.

(a) A Shapiro-Wilk test with p<.01 indicates that the data is normally distributed.

(b) A Shapiro-Wilk test with p=.6 indicates that the data is normally distributed.

• Only statement (a) is correct.

• Only statement (b) is correct.

• Both statements are correct.

• Both statements are incorrect.

(a) A p-value of .02 in a Linear Regression means the coefficients in the regression line is statistically significant.

(b) The r² in a Linear Regression Analysis is the absolute value of the Pearson Coefficient of the two variables in the Regression line.

• Only statement (a) is correct.

• Only statement (b) is correct.

• Both statements are correct.

• Both statements are incorrect.