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question 1- A nurse is interested in whether there is a relationship between daily levels of...

question 1- 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                                                     6
      4                                                     0
      6                                                     5
      3                                                     8

What is the numeric value of the y-intercept (a)?

Question 2- 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                                                     0
      5                                                     9
      8                                                     3
      0                                                     1

Set up the regression equation and use to predict the risk of heart attack for a person with a stress score of 6. The risk of heart attack predicted for a person with a stress score of 6 is?
Answer:

Question 3- Exam score in Psy 1110 is used to predict nurses' salaries, and the regression equation turns out to be
ŷ = 7(X) + 374

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.)

Answer:

Question 4-

Exam score (X) is used to predict nurses' salaries (ŷ), and the regression equation turns out to be:
ŷ = 6(X) + 325
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)

Answer:

Question 5-

In a study of how late people are to work, 11% 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?

(Hint: See the "Coefficient of Determination" document under Module 5 Instruction Materials.)

Answer:

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