Question

1) The World Health Organization (WHO) studied the woman’s life expectancy and associated risk factors. They found a linear relationship as: Life expectancy (year) = 47.17 + 30.7 Literacy percentage among women. Based on this linear model, what is the woman’s life expectancy in Mexico when women’s literacy percentage is about 80%?   

• 77.87 years old

• 76.77 years old

• Around 81 years old

• 71.73 years old

2) Study investigators at the University of Florida wanted to evaluate the correlation of mean admission multiple mini-interview (MMI) scores with cumulative (continuous data) and overall GPA across didactic years 1-3 in the doctor of pharmacy program. Which of the following should be used to calculate the correlation coefficient?  

• Pearson correlation

• Spearman correlation

• Kendall correlation  

• Canonical correlation

3) The results of the study are shown in Table 2 below. Which of the following statements is CORRECT?

Table Information: Mean Cumulative GPA= 3.61

Mean MMI Score (Max 24)= 19

Correlation Coefficient (r)= -0.05

p value=0.29

R^2= 0.003

• There was NOstatistically significant correlation between MMI score and GPA.

• There was a statistically significant negative correlation between MMI score and GPA.

• The mean MMI score in the regression model accounted for 0.003% of the total variation in a given student’s cumulative GPA.

• There was moderate negative correlation between MMI score and GPA.

4) Look at Table 2 below. Which independent variable had the largest contribution to the total PCOA score? (clue: β is the standardized coefficient in the Table.)

	PCAT Score (B)	PY3 Pre-APPE GPA (B)	NAPLEX Score (B)	R^2
Total PCOA score	0.38^b	0.26^b	0.34^b	0.60
Basic Biomedical Sciences	0.32^b	0.28^b	0.13	0.33
Pharmaceutical Sciences	0.30^b	0.18^b	0.36^b	0.46
Social/Behavioral/Administrative Sciences	0.33^b	0.12	0.12	0.22
Clinical Services	0.25^b	0.24^b	0.33^b	0.43

• PCAT Score  

• PY3 Pre-APPE GPA  

• NAPLEX Score

• R2

Answer 1

1) The World Health Organization (WHO) studied the woman’s life expectancy and associated risk factors. They found a linear relationship as: Life expectancy (year) = 47.17 + 30.7 Literacy percentage among women. Based on this linear model, what is the woman’s life expectancy in Mexico when women’s literacy percentage is about 80%?   

We are given the following regression equation,
Life expectancy (year) = 47.17 + 30.7 Literacy percentage

We substitute the value of literacy precentage to find the life expectancy.

Life expectancy (year) = 47.17 + 30.7*(0.8) = 71.73

Correct answer = 71.73 years old

2) Study investigators at the University of Florida wanted to evaluate the correlation of mean admission multiple mini-interview (MMI) scores with cumulative (continuous data) and overall GPA across didactic years 1-3 in the doctor of pharmacy program. Which of the following should be used to calculate the correlation coefficient?
Correct answer : Spearman correlation

Spearman correlation helps us to understand the relationship between ordinal variable and a continous variable.

Pearson correlation : is used for continuous values
Kendall correlation: is used for two ordinal variable
Canonical correlation : it is used where multiple regression can be use to understand the effect of latent variables.

The next two questions are based on table 2, which is not given problem. Please provide a proper formatted table.