C784 Module 6: Correlation & Regression
Exam Questions And Answers
lurking variable -
correct answer ✅A variable that is not included in an analysis but
that is related to two (or more) other associated variables which
were analyzed.
simple linear regression -
correct answer ✅the prediction of one response variable's value
from one explanatory variable's value
Simpson's Paradox -
correct answer ✅A counterintuitive situation in which a trend in
different groups of data disappears or reverses when the groups are
combined.
degree -
correct answer ✅The largest exponent in a mathematical
expression or equation.
causation -
correct answer ✅A relationship of cause and effect between two
or more variables.
,C784 Module 6: Correlation & Regression
Exam Questions And Answers
linear interpolation -
correct answer ✅Estimation using the linear regression equation is
between known data points.
association -
correct answer ✅A pattern or relationship between two variables.
coordinate plane -
correct answer ✅A tool for graphing consisting of a horizontal x-
axis and a vertical y-axis.
regression equation -
correct answer ✅An equation used to model the relationship
between two quantitative dependent and independent variables.
scatterplot -
correct answer ✅A graph that uses dots on a coordinate plane to
show the relationship between variables.
Regression Analysis -
correct answer ✅a statistical tool that quantifies the relationship
betwn a response variable and one or more explanatory variables
, C784 Module 6: Correlation & Regression
Exam Questions And Answers
least squares -
correct answer ✅A technique for finding the regression line.
slope-intercept form -
correct answer ✅A common format for the equation of a line: y =
mx + b, where m is the slope and b is the y-intercept.
regression line -
correct answer ✅The line of best fit to show the relationship
between variables, the one that minimizes distance from each data
point to the line.
A linear regression equation takes the following form:
y = mx^2 + b. True or False? -
correct answer ✅false.
This is not the form that a linear regression equation takes.
Linear regression is always of degree 1, so the exponent of 2
associated with the x makes this a non-linear equation.
Exam Questions And Answers
lurking variable -
correct answer ✅A variable that is not included in an analysis but
that is related to two (or more) other associated variables which
were analyzed.
simple linear regression -
correct answer ✅the prediction of one response variable's value
from one explanatory variable's value
Simpson's Paradox -
correct answer ✅A counterintuitive situation in which a trend in
different groups of data disappears or reverses when the groups are
combined.
degree -
correct answer ✅The largest exponent in a mathematical
expression or equation.
causation -
correct answer ✅A relationship of cause and effect between two
or more variables.
,C784 Module 6: Correlation & Regression
Exam Questions And Answers
linear interpolation -
correct answer ✅Estimation using the linear regression equation is
between known data points.
association -
correct answer ✅A pattern or relationship between two variables.
coordinate plane -
correct answer ✅A tool for graphing consisting of a horizontal x-
axis and a vertical y-axis.
regression equation -
correct answer ✅An equation used to model the relationship
between two quantitative dependent and independent variables.
scatterplot -
correct answer ✅A graph that uses dots on a coordinate plane to
show the relationship between variables.
Regression Analysis -
correct answer ✅a statistical tool that quantifies the relationship
betwn a response variable and one or more explanatory variables
, C784 Module 6: Correlation & Regression
Exam Questions And Answers
least squares -
correct answer ✅A technique for finding the regression line.
slope-intercept form -
correct answer ✅A common format for the equation of a line: y =
mx + b, where m is the slope and b is the y-intercept.
regression line -
correct answer ✅The line of best fit to show the relationship
between variables, the one that minimizes distance from each data
point to the line.
A linear regression equation takes the following form:
y = mx^2 + b. True or False? -
correct answer ✅false.
This is not the form that a linear regression equation takes.
Linear regression is always of degree 1, so the exponent of 2
associated with the x makes this a non-linear equation.
