Page 196 - Quantitative Data Analysis

Quantitative Data Analysis
Simply Explained Using SPSS

a. is 0.66
b. could be either + 0.9 or - 0.9
c. must be positive
d. is 81%

5. Which of the following correlations will allow for better
prediction and why?
a. -.59
b. -.95
c. .94
d. .01

6. If the slope of the regression line is calculated to be 6.50
and the intercept 11.50 then the value of Y when X is 3 is
a. 8
b. 28
c. 31
d. 41

7. Is asthma dependent on the air temperature? The following
equation represents the linear relationship between air
temperature and asthma rating (1=very bad and 5=very
good):
Y (predicted) = -18.40 + 0.018X. What is the estimated
increase in asthma rating for every one unit increase in
temperature?
a. 0.018
b. -0.018
c. 18.40
d. -18.40

The Theory and Applications of Statistical Inferences 180