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(Solved) represents the predicted value of y calculated using the equation = a + bX . In the formula, SBP = 87 + 2.4 X; where X = value of postnatal age


   Ŷ represents the predicted value of y calculated using the equation Ŷ = a + bX.

In the formula, SBP = 87 + 2.4 X; where X = value of postnatal age (hours) for the neonates ≤ 1,000 grams?

A.    What is the value of the intercept (a)? [ONE POINT]


B.     Interpret the value of the intercept [ONE POINT]


C.    What is the value of the slope (b)? [ONE POINT]


D.   Interpret the value of the slope [ONE POINT]




Calculate the percentage of variance explained for correlation (r) = 0.92 [i.e., the coefficient of determination].  Is this correlation clinically important? Provide a rationale for your answer (TWO POINTS).





Consider the following two values of the correlation:

Correlation (r) = 0.03                       and                          Correlation (r) = – 0.82

A.    Describe each correlation [strength and direction] (TWO POINTS)


 

B.    Describe the clinical importance of each correlation (r) value. (TWO POINTS)



Use table 1 below and indicate the loading of the variables for each factor

A.    What are the specific questions that were represented in Factor I? Provide justifications. [ONE POINT]



B.    What are the specific questions that were represented in Factor II? Provide justifications. [ONE POINT]


Table 1. Component Matrix        

       FACTOR1           FACTOR2               

 Q1         .865       0.026    

Q2           .387       0.619

Q3           .091       0.760    

Q4           .651       0.396    

Q5           0.030    0.634    

Q6          0.805    -.064

Q7           0.399     0.651

Q8     -0.794        0.167                     

Q9       -0.097      0.728   

Q10         .770   -0.183     

Extraction Method: Principal Component Analysis.






Table 3 below shows the multiple logistic regression for factors associated with having three or more cardiovascular disease risk factors among a population of 500 participants who participated in a cross-sectional survey.

Which variable(s) is considered to be statistically significant? Interpret the odds ratio and the 95% confidence interval for the significant variable(s). [THREE POINTS]


Table 3. Multiple Logistic Regression for the predictors of having three or more Cardio Vascular Disease risk factors (N=486)

Perceived health status Odds ratio 95% Confidence interval


 Excellent/Very Good Reference

Good 1.3 0.8-2.2

 Fair/Poor 3.3 1.8-6.1

 

Gender

Female Reference

 Male 1.6 1.1-2.9


Race/Ethnicity

African American 1.8 1.2-3.0

Hispanic 0.6 0.3-1.4

Others Reference

 


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