Question

1. When you are presented with a Pearson’s correlation coefficient between two variables for which an increase in one predicts a decrease in the other, and vice versa, the Pearson’s number will be
   1. zero; the Pearson number is only meaningful if the variables move in the same direction as one another
   2. close to -1 if the correlation is strong, negative but near zero if the correlation is weak
   3. close to -1 if the correlation is strong, close to +1 if the correlation is weak
   4. close to +1 if the correlation is strong, positive but near zero if the correlation is weak

2. The statistical procedure used to define which of a list of independent or “predictor” variables has an impact on a ratio-level dependent variable is
   1. linear regression
   2. logistic regression
   3. Kaplan-Meier analysis
   4. factor analysis

3. The statistical procedure used to estimate the time until a death or other “endpoint” occurs, based on group membership or condition, is called
   1. linear regression
   2. logistic regression
   3. Kaplan-Meier analysis
   4. factor analysis

4. The statistical procedure used to define which of a list of independent or “predictor” variables has an impact on a nominal, dichotomous dependent variable is

1. linear regression
2. logistic regression
3. Kaplan-Meier analysis
4. factor analysis
5. When you are presented with a Pearson’s correlation coefficient between two variables for which an increase in one predicts a decrease in the other, and vice versa, the Pearson’s number will be
   1. zero; the Pearson number is only meaningful if the variables move in the same direction as one another
   2. close to -1 if the correlation is strong, negative but near zero if the correlation is weak
   3. close to -1 if the correlation is strong, close to +1 if the correlation is weak
   4. close to +1 if the correlation is strong, positive but near zero if the correlation is weak
7. The statistical procedure used to define which of a list of independent or “predictor” variables has an impact on a ratio-level dependent variable is
   1. linear regression
   2. logistic regression
   3. Kaplan-Meier analysis
   4. factor analysis
9. The statistical procedure used to estimate the time until a death or other “endpoint” occurs, based on group membership or condition, is called
   1. linear regression
   2. logistic regression
   3. Kaplan-Meier analysis
   4. factor analysis
11. The statistical procedure used to define which of a list of independent or “predictor” variables has an impact on a nominal, dichotomous dependent variable is
13. 1. linear regression
    2. logistic regression
    3. Kaplan-Meier analysis
    4. factor analysis

Answer 1

1. The pearson correlation coefficient will be negative as there is a negative association between the variables. It will be close to -1 if the correlation is strong and close to 0 if weak.

Correct option: B)

2. Linear regression is used to find whether a list of independent variables have an inpact on a dependent variable.
Correct option: A)

3. Kaplan-Meier analysis is used to estimate the survival function from lifetime data based on conditions.
Correct option: C)

4. If the dependent variable is nominal or dichotomous, we use logistic regression for the same.

Correct option: B)