Deck 12: Regression Analysis

Question 1

A study examining the relationship between multiple independent variables (age, compliance with colorectal health screening guidelines and genetics) and colorectal cancer in men over age 65. They include a dependent variable of colorectal cancer (yes/no). What type of regression would be appropriate to apply in this situation?

A) Logistic regression
B) Linear regression
C) Multiple regression
D) Regression is not possible due to an inadequate sample size

Answer 1

A

Question 2

A study examines the relationship between years of educational preparation, language spoken, age, primary nursing role, race and ethnicity and total score on a cultural competency exam among a group of 987 randomly selected nurses at your hospital. What test would be appropriate to determine if there is an association?

A) Independent t-test
B) Multiple Regression
C) ANOVA
D) Pearson's Correlation

Answer 2

B

Question 3

A researcher wants to determine how an effort score (0-10) and an engagement score (0-100) impact performance (high/low) for nurses enrolled in an online graduate programs. What test would you recommend she utilize?

A) ANOVA
B) T-test for independent groups
C) Logistic regression
D) Pearson's Correlation Coefficient

Answer 3

C

Question 4

A researcher is studying 378 nurses enrolled in an online RN to BSN completion program and analyzing how age, level of engagement, motivation and time spent studying impact the final test score. When she enters level of engagement, motivation and time spent studying into the regression model the R square change associated with each is significant but when she enters age into the model the R square change is not significant. You would recommend the final regression model include what variables?

A) Level of engagement and age
B) Level of engagement and motivation
C) Level of engagement, motivation and time spent studying
D) Level of engagement, motivation, time spent studying and age

Question 5

A researcher is studying 378 nurses enrolled in an online RN to BSN completion program and analyzing how age, level of engagement, motivation and time spent studying impact the final test score. When she enters age and motivation into the regression model the R square change associated with each is NOT significant. You would recommend:

A) Not including age and motivation in the regression model
B) Rechecking the math, this is a type II error
C) Only including motivation and time spent studying
D) Decreasing the sample size

Question 6

A researcher wishes to determine if there is an association between taking frequent breaks (minutes away from desk), certification status (yes/no), age (number of years) and reaching monthly productivity goals in the clinical documentation department (yes/no). What would be the appropriate test to use?

A) Logistic regression
B) Multiple regression
C) Pearson's Correlation
D) ANOVA Test

Question 7

A nursing professor wishes to determine if there is an association between her students grades and three independent variables (use of online tutorials, the use of quiz review sessions and participation in study sessions). Her regression model has a significant R square (0.83). She knows this means:

A) She should include all the independent variables in her model because they are significant.
B) She is unable to determine what the R square means without a p value.
C) There is a clinically significant relationship between the use of resources and final grades.
D) 83% of the variance in grades is explained by the independent variables included in the model.

Question 8

A nursing professor wishes to determine if there is an association between her students grades and three independent variables (use of online tutorials, the use of quiz review sessions and participation in study sessions). When she adds the third variable the standard error of the estimate changes from 8.2 to 9.4. She knows this means:

A) She should include all the independent variables in her model because they are all important.
B) She is unable to determine what the change means without an R squared value.
C) There is a clinically significant relationship between the use of resources and final grades.
D) The prediction made by the model including the three variables will be less accurate.

Question 9

A psychiatric nurse practitioner completes a study examining psychological distress scores, hours spent sleeping, and number of visitors to see if these variables impact minutes spent in ritualistic behavior among patients diagnosed with obsessive compulsive disorder. She reports the following information. What statement is true?
$\begin{array}{|l|l|l|}\hline & B & \text { Sig } \\\hline \text { Psychological distress } & 11.511 & .000 \\\hline \text { Sleeping } & -4.735 & .020 \\\hline \text { Visitors } & 3.22 & .41 \\\hline\end{array}$

A) The most significant predictor is the number of visitors.
B) All of the variables are significant predictors.
C) Sleeping significantly impacts the number of minutes spent in ritualistic behavior.
D) For each additional hour of sleep ritualistic behaviors are decreased by 2%.

Question 10

A psychiatric nurse practitioner completes a study examining psychological distress scores, hours spent sleeping, and number of visitors to see if these variables impact minutes spent in ritualistic behavior among patients diagnosed with obsessive compulsive disorder. She reports the following information. What statement is true?
$\begin{array}{|l|l|l|}\hline & B & \text { Sig } \\\hline \text { Psychological distress } & 11.511 & .040 \\\hline \text { Sleeping } & -4.735 & .020 \\\hline \text { Visitors } & 3.22 & .61 \\\hline\end{array}$

A) The most significant predictor is psychological distress.
B) All of the variables are significant predictors.
C) Sleeping does not impacts the number of minutes spent in ritualistic behavior.
D) For each additional hour of sleep ritualistic behaviors are decreased by a little less than five minutes.

Question 11

A psychiatric nurse practitioner completes a study examining psychological distress scores, hours spent exercising, and number of counseling sessions to see if these variables impact minutes spent in ritualistic behavior among patients diagnosed with obsessive compulsive disorder. She reports the following information.
$\begin{array}{|l|l|l|}\hline & B & \text { Sig } \\\hline \text { Psychological distress } & 3.98 & .040 \\\hline \text { Exercise } & -14.29 & .020 \\\hline \text { Counseling sessions } & -1.45 & .031 \\\hline\end{array}$
If a patient engages in two hours of exercise what would you predict would happen to the number of minutes he/she spends in ritualistic behaviors?

A) The patient would engage in about 29 fewer minutes of ritualistic behaviors.
B) The patient would engage in about 20% fewer minutes of ritualistic behaviors.
C) There would be no change in ritualistic behaviors.
D) The patient would engage in about 15 minutes less of ritualistic behaviors.

Question 12

A psychiatric nurse practitioner completes a study examining psychological distress scores (DS), hours spent exercising (X), and number of counseling sessions (C) to see if these variables impact minutes spent in ritualistic behavior among patients diagnosed with obsessive compulsive disorder. She reports the following regression equation.
Y= 59+ 3.98(DS)-2.89(X)-4.5(C)
If a patient has a distress score of 5, spends 2 hours exercising and attends a counseling session you would expect to see about how many minutes of ritualistic behavior?

A) 9.6
B) 68.6
C) 29.5
D) unable to determine

Question 13

A nurse researcher studies the impact of medication and exercise on HgA1C levels and reports that exercise significantly decreases HgA1C levels. You know this means:

A) the beta coefficient associated with exercise is negative
B) medication is not as effective as exercise
C) the R square change associated with exercise is not significant
D) the beta coefficient associated with exercise is equal to the R square change

Question 14

A nurse researcher studies the impact of medication and exercise on HgA1C levels and reports that medication and exercise significantly decreases HgA1C levels. The R square associated with the model is 0.83. You know this means:

A) medication and exercise are not significant predictors
B) medication and exercise explain 17% of the variance in HgA1C levels
C) medication and exercise explain 83% of the variance in HgA1C levels
D) including exercise in the model increased the error of the prediction

Question 15

Your regression analysis only included a sample of 23. You should report the:

A) insignificant b coefficients in case you have made a type II error
B) adjusted R-square
C) the R-square standard error of the estimate
D) IRB approval for vulnerable subjects

Question 16

The standard error of the estimate tells you:

A) the amount of error involved in your prediction
B) the accuracy of the model with one less predictor
C) the odds that your answer is correct
D) nothing without the p value