## (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

Â Â Â Å¶ represents the predicted value of y calculated using the equation Å¶ = a + bX.

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

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

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

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

D.Â Â Â 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].Â Â 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 Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â and Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Correlation (r) = â€“ 0.82

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

Â

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

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

Table 1. Component MatrixÂ Â Â Â Â Â Â Â

Â Â Â Â Â Â Â FACTOR1Â Â Â Â Â Â Â Â Â Â  FACTOR2Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â

Â Q1Â Â Â Â Â Â Â Â Â .865Â Â Â Â Â Â Â 0.026Â Â Â Â

Q2Â Â Â Â Â Â Â Â Â Â Â .387Â Â Â Â Â Â Â 0.619

Q3Â Â Â Â Â Â Â Â Â Â Â .091Â Â Â Â Â Â Â 0.760Â Â Â Â

Q4Â Â Â Â Â Â Â Â Â Â Â .651Â Â Â Â Â Â Â 0.396Â Â Â Â

Q5Â Â Â Â Â Â Â Â Â Â Â 0.030Â Â Â Â 0.634Â Â Â Â

Q6Â Â Â Â Â Â Â Â Â Â 0.805Â Â Â Â -.064

Q7Â Â Â Â Â Â Â Â Â Â Â 0.399Â Â Â Â  0.651

Q8Â Â Â Â Â -0.794Â Â Â Â Â Â Â Â 0.167Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â

Q9Â Â Â Â Â Â Â -0.097Â Â Â Â Â Â 0.728Â Â Â

Q10Â Â Â Â Â Â Â Â  .770Â Â Â -0.183Â Â Â Â Â

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

Â Excellent/Very Good Reference

Good 1.3 0.8-2.2

Â Fair/Poor 3.3 1.8-6.1

Â

Gender

Female Reference

Â 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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