A nurse is interested in whether there is a relationship between daily levels of

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A nurse is interested in whether there is a relationship between daily levels of

A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below (Values below are valid for this question only!)
Stress Score Risk of Heart Attack
(Higher values = more stress) (Higher values = greater risk)
8 5
4 2
6 8
8 3
What is the covariance?
A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below (Values below are valid for this question only!)
Stress Score Risk of Heart Attack
(Higher values = more stress) (Higher values = greater risk)
0 2
2 8
3 0
8 7
What is the standard deviation of the predictor variable?
A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below. (Values below are valid for this question only!)
Stress Score Risk of Heart Attack
(Higher values = more stress) (Higher values = greater risk)
6 8
8 0
2 6
9 2
What is the standard deviation of the criterion variable?
A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below. (Values below are valid for this question only!)
Stress Score Risk of Heart Attack
(Higher values = more stress) (Higher values = greater risk)
3 7
8 0
8 1
5 0
What is the Pearson’s r value?
A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below. (Values below are valid for this question only!)
Stress Score Risk of Heart Attack
(Higher values = more stress) (Higher values = greater risk)
4 1
4 3
9 0
2 2
What is the numeric value of the slope (b)?
A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below. (Values below are valid for this question only!)
Stress Score Risk of Heart Attack
(Higher values = more stress) (Higher values = greater risk)
4 9
9 0
6 5
5 0
What is the numeric value of the y-intercept (a)?
A nurse is interested in whether there is a relationship between daily levels of stress and likelihood of a heart attack. The stress scores (predictor variable) and risk of heart attack values (criterion variable) from a small sample of participants are depicted below. (Values below are valid for this question only!)
Stress Score Risk of Heart Attack
(Higher values = more stress) (Higher values = greater risk)
6 5
5 0
7 7
1 2
Set up the regression equation and use to predict the risk of heart attack for a person with a stress score of 7. The risk of heart attack predicted for a person with a stress score of 7 is?
Exam score in Psy 1110 is used to predict nurses’ salaries, and the regression equation turns out to be
ŷ = 9(X) + 369
If a nurse earns a score of 80 on the exam, his/her predicted salary would be $____00.00? (Fill in the blank with the numbers only from solving the regression equation. Do NOT add additional zeros or decimal points.)
(Hint: DO NOT convert 80 to a decimal for this problem! Use the value of 80 (NOT .80) during your calculations.)
Exam score (X) is used to predict nurses’ salaries (ŷ), and the regression equation turns out to be:
ŷ = 8(X) + 350
If a nurse’s predicted salary (ŷ) is $890 per week (for purposes of this problem, represented numerically as 890), what would be his or her exam score (X)?
(Hint: Note that in this particular problem, you are solving for X . . . not for ŷ)
Which of the following correlations is weakest?
-1
-.5
0
+1
Consider the following sets of variables. When is computing correlation appropriate, based on the type of variables?
Weight and height
Gender (M vs. F) and height
Age category (age category 11-20, age category 21-30, age category 31-40, etc.) and height
Name and height
The direction of causality
CAN BE DETERMINED WHEN TWO VARIABLES HAVE SIGNIFICANT LINEAR CORRELATION
CAN BE DETERMINED WHEN TWO VARIABLES HAVE SIGNIFICANT NONLINEAR CORRELATION
CAN BE DETERMINED WHEN TWO VARIABLES HAVE NO CORRELATION
CANNOT BE DETERMINED BASED ON CORRELATION ALONE
In a study of how late people are to work, 51% of the variability of the amount of time late could be accounted for by the time spent in traffic jams. What was the correlation coefficient?
Let us say, hypothetically, that you found a significant positive correlation between Exposure to TV Violence and Aggressive Behavior. Which of the following might explain this relationship?
Select any and all options that are correct.
Greater exposure to TV violence is associated with less aggressive behavior
Greater exposure to TV violence is associated with more aggressive behavior
Exposure to TV violence and aggressive behavior are totally unrelated
More aggressive behavior is associated with greater exposure to TV violence
A third, unknown variable is causing both aggressive behavior and exposure to TV violence to similarly rise and fall.
A variable that can be used to predict the value of another variable is called
PREDICTOR VARIABLE
CRITERION VARIABLE
CONTINUOUS VARIABLE
DISCRETE VARIABLE
Requirements: 2 p

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