Chapter 8 Flashcards
Multiple regression is both ______ and ______.
Linear; additive
A researcher is studying her students’ test scores and the amount of coffee (number of cups) consumed before the exam. In the equation y = a + b( x) which variable represents the test scores?
Y
In the equation y = a + b( x), x represents the value of the dependent variable.
False
Pearson’s r is used to gauge the strength of a relationship between two interval-level variables when performing correlation analysis.
True
Pearson’s r is a symmetrical measure of association between two variables.
True
If two variables are very closely related to one another they are said to have parsimony.
False
Correlation analysis produces a statistic that estimates the size of the effect of the independent variable on the dependent variable.
False
A graphical display where the independent variable is measured along the horizontal axis and the dependent variable is measured along the vertical axis is called a ______.
Scatter Plot
The y-intercept is the value of y when x equals zero.
True
In the equation y = a + b( x) which variable represents the y-intercept?
a
A researcher conducting a study of turnout in the fifty states finds a regression coefficient of .35. This tells the researcher that ______.
Turnout increases by .35 for each one unit increase in the independent variable
A researcher wants to estimate voter turnout for different regions of the country. She divides the country into four regions. How many dummy variables will she have in the equation?
3
A bivariate analysis is used to analyze the relationship between a(n) ______.
CorrectC. interval-level dependent variable and any independent variable at any level
Researchers typically use correlation analysis during the early stages of the research process.
True
In the equation y = a + b( x), b stands for the ______.
Regression coefficient
Multiple regression analysis produces a ______ for each independent variable in the model.
Partial regression coefficient
The formula y = a + b( x) represents the ______.
Regression line
A researcher working with data about individuals’ ages and their income wants to know how income is related to age. Does income go up or down or remain constant with age? Which analysis would help the researcher understand this relationship best?
Correlation analysis
