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SOCI301 Quiz Questions and Correct
Answers
bivariate linear regression analysis Ans: the simplest linear
regression procedure
bivariate regression Ans: a procedure which allows us to move
from descriptions to explanations and predictions
linear regression Ans: model explores the predictive relationship
for only two variables
bivariate regression Ans: focuses on explaining or predicting one
of the variables on the basis of information on the other variable
regression model Ans: examines changes in one variable as a
function of changes of differences in values of the other variable
dependent variable Ans: the variable whose variation we want to
explain or predict. easily identifiable. variable of primary interest.
the one we want to explain or predict.
independent variable Ans: the variable used to predict systematic
changes in the dependent variable
regression Ans: aims to determine how, and to what extent, the
dependent variable varies as a function of changes in the predictor
variable
points to conceptualize in bivariate Ans: 1. data must e collected
on two variables.
2. the dependent and independent variables should be quantitative
3. the dependent variable is Y and independent variable is X
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general mathematical equation Ans: defines a straight line (best
fitting straight line) that may be fitted to the data points in a
scatter diagram
individual errors Ans: the extent to which the data points do not
lie on the straight
data used for bivariate regression analysis Ans: 1. scatter plots
2. model summary
3. anova
4. coefficients
scatterplot Ans: a type of plot or mathematical diagram using
coordinates to display values for typically two variables of a data
set. can suggest correlations.
scatterplots and linear regression Ans: infinite number of possible
lines can be drawn
bivariate regression Ans: has only one single explanatory variable.
slope Ans: estimate equals the average change in Y associated
with a unit change in X. describes the effects of the variable while
ignoring all other possible explanatory variables.
output of linear regression analysis includes Ans: 1. model
summary (R and adjusted R^2)
2. ANOVA (significance of model)
3. coefficients (relationship between variables)
model summary Ans: first table of interest. provides R and R^2
values
© 2025 All rights reserved
SOCI301 Quiz Questions and Correct
Answers
bivariate linear regression analysis Ans: the simplest linear
regression procedure
bivariate regression Ans: a procedure which allows us to move
from descriptions to explanations and predictions
linear regression Ans: model explores the predictive relationship
for only two variables
bivariate regression Ans: focuses on explaining or predicting one
of the variables on the basis of information on the other variable
regression model Ans: examines changes in one variable as a
function of changes of differences in values of the other variable
dependent variable Ans: the variable whose variation we want to
explain or predict. easily identifiable. variable of primary interest.
the one we want to explain or predict.
independent variable Ans: the variable used to predict systematic
changes in the dependent variable
regression Ans: aims to determine how, and to what extent, the
dependent variable varies as a function of changes in the predictor
variable
points to conceptualize in bivariate Ans: 1. data must e collected
on two variables.
2. the dependent and independent variables should be quantitative
3. the dependent variable is Y and independent variable is X
© 2025 All rights reserved
, 2 | Page
general mathematical equation Ans: defines a straight line (best
fitting straight line) that may be fitted to the data points in a
scatter diagram
individual errors Ans: the extent to which the data points do not
lie on the straight
data used for bivariate regression analysis Ans: 1. scatter plots
2. model summary
3. anova
4. coefficients
scatterplot Ans: a type of plot or mathematical diagram using
coordinates to display values for typically two variables of a data
set. can suggest correlations.
scatterplots and linear regression Ans: infinite number of possible
lines can be drawn
bivariate regression Ans: has only one single explanatory variable.
slope Ans: estimate equals the average change in Y associated
with a unit change in X. describes the effects of the variable while
ignoring all other possible explanatory variables.
output of linear regression analysis includes Ans: 1. model
summary (R and adjusted R^2)
2. ANOVA (significance of model)
3. coefficients (relationship between variables)
model summary Ans: first table of interest. provides R and R^2
values
© 2025 All rights reserved
