Question
Question 1 A correlation coefficient must lie between Group of answer choices 0 and 1 -1 and 0 -1 and 1 None of above Question
Question 1
A correlation coefficient must lie between
Group of answer choices
0 and 1
-1 and 0
-1 and 1
None of above
Question 2
A correlation coefficient between the variables x and y is - 0.7. It indicates
Group of answer choices
as x increase, y tends to increase.
as x increase, y tends to decrease.
as x decrease, y tends decrease
Can not be determined
Question 3
A correlation coefficient between the variables x and y is 0.8. It indicates
Group of answer choices
as x increase, y tends to increase.
as x increase, y tends to decrease.
as x decrease, y tends increase.
Can not be determined
Question 4
There are two correlation coefficients. One is 0.8, and the other 0.5. The strong correlation coefficient is
Group of answer choices
0.8
0.5
Can not be determined.
Question 5
There are two correlation coefficients. One is - 0.8, and the other 0.5. The strong correlation coefficient is
Group of answer choices
- 0.8
0.5
Can not be determined.
Question 6
There are two correlation coefficients. One is - 0.8, and the other -0.5. The strong correlation coefficient is
Group of answer choices
- 0.8
- 0.5
Can not be determined.
Question 7
The Pearson correlation coefficient between two variables x and y requires
Group of answer choices
x follows normal distribution, and y can be any distribution
y follows normal distribution, and x can be any distribution
both x and y follow normal distribution
Question 8
A regression equation of infant weight (oz) and age (day) from 20 infants who had age from 0 to 5 days is y= 113.3 + 2.16*age. Based on this regression equation, please answer following questions 8 to 14. ___________________________________________________________________ The predicted birth weight is
Group of answer choices
119.8 oz
113.3 oz
115.5 oz
Can not be determined
Question 9
The predicted infant weight age day 1 is
Group of answer choices
119.8 oz
113.3 oz
115.5 oz
Can not be determined
Question 10
The predicted infant weight age day 3 is
Group of answer choices
119.8 oz
113.3 oz
115.5 oz
Can not be determined
Question 11
In this regression equation, infant weight is
Group of answer choices
Independent variable
Dependent variable
Neither independent variable, nor dependent variable
Question 12
In this regression equation, age is
Group of answer choices
Independent variable
Dependent variable
Neither independent variable, nor dependent variable
Question 13
In this regression equation, the intercept is
Group of answer choices
2.16 oz
113.3 oz
115.5 oz
Can not be determined
Question 14
In this regression equation, the slope coefficient is
Group of answer choices
2.16 oz
113.3 oz
115.5 oz
Can not be determined
ion of quality of life scale (0-100, 100 is best) associated with Age (year), Income (unit US $), CD4 count from 695 Africa HIV infected women is The quality of life scale = 32.121 + 0.060 * Income + 0.017 * CD4 count - 0.045 * Age. Based on this regression equation, please answer following questions 15 to 29. ____________________________________________________________________ Given an Africa HIV infected woman with an income $200, CD4 250 and age 40, the predicted quality of life scale is
Group of answer choices
32.121
46.571
34.571
Can not be determined
Question 16
Given an Africa HIV infected woman with an income $100 and CD4 200, the predicted quality of life scale is
Group of answer choices
32.121
46.571
34.571
Can not be determined
Question 17
In this multiple regression equation, the intercept is
Group of answer choices
32.121
46.571
34.571
Can not be determined
Question 18
Given an Africa HIV infected woman with no income, CD4 250 and age 40, the predicted quality of life scale is
Group of answer choices
32.121
46.571
34.571
Can not be determined
Question 19
In this multiple regression equation, the quality of life scale is
Group of answer choices
Independent variable
Dependent variable
Neither independent variable, nor dependent variable
Question 20
In this multiple regression equation, the income is
Group of answer choices
Independent variable
Dependent variable
Neither independent variable, nor dependent variable
Question 21
In this multiple regression equation, the CD4 count is
Group of answer choices
Independent variable
Dependent variable
Neither independent variable, nor dependent variable
Question 22
In this multiple regression equation, the age is
Group of answer choices
Independent variable
Dependent variable
Neither independent variable, nor dependent variable
Question 23
The difference of predicted quality of life scale between the woman with an income $200, CD4 250 and age 40 and the woman with no income, CD4 250 and age 40 is
Group of answer choices
0.450
12.000
1.7
6.000
Question 24
The difference of predicted quality of life scale between the woman with an income $200, CD4 250 and age 40 and the woman with an income $100, CD4 250 and age 40 is
Group of answer choices
0.450
12.000
1.7
6.000
Question 25
The difference of predicted quality of life scale between two women with same income and same CD4 count, but one age 30 and the other 40, is
Group of answer choices
0.450
12.000
1.7
6.000
Question 26
The difference of predicted quality of life scale between two women with same income and same age, but one CD4 count 200 and the other 100, is
Group of answer choices
0.450
12.000
1.7
6.000
Question 27
As income increases one dollar, the predicted quality of life scale increases
Group of answer choices
32.121
0.060
0.017
-0.045
Question 28
As CD4 count increases one count, the predicted quality of life scale increases
Group of answer choices
32.121
0.060
0.017
-0.045
Question 29
As age increases one year, the predicted quality of life scale increases
Group of answer choices
32.121
0.060
0.017
-0.045
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