Measures of association include which of the following?
a. Correlations
b. Regression
c. Multiple regression
d. All of the above
e. None of the above
A correlation coefficient is a number that looks like what?
a. A number between 0 and 1.0 that can be positive or negative
b. A positive number between 1 and 100
c. A negative number between -1 and -100
d. None of the above
A regression equation will have the format y = mx + b. What is the m?
a. The variable on the x axis.
b. The variable on the y axis.
c. The y intercept.
d. The slope of the line.
Which of the following correlation coefficients shows an inverse relationship?
a. 0.90
b. -0.77
c. 0.77
d. 0.04
A regression analysis was performed between two variables, x and y. The equation for this line of best fit for the relationship between the x and the y was: y = 54x +2. If someone had a x = 1, what was the y?
a. 56
b. 54
c. 2
d. Can't be determined
A regression is performed to quantify the relationship between x and y. What information does this analysis give you?
a. The r
b. The line of best fit
c. The standard error of estimate
d. All of the above
Which of the following correlations is the strongest?
a. 0.95
b. 0.56
c. -0.96
d. -0.95
Whenever you want to know how much variability one variable accounts for in another, you need to find the:
a. r
b. r squared
c. slope
d. SEE (standard error of estimate)
If a regression equation is: GPA = 0.5(hours per week studying) - 0.75(hours per week partying) + 1. Which variable is inversely related to GPA?
a. Neither are inversely related.
b. Both are inversely related.
c. Hrs studying is inversely related.
d. Hrs partying is inversely related.
The advantage of an r squared over an r is:
a. An r squared shows the direction of the relationship
b. An r squared can be compared to 1.0
c. An r squared can be compared directly to another r squared
d. There is no advantage of an r squared over an r