Chapter 14 Test 1 Notes
In the general multiple regression equation, which of the following variables represents
the Y-intercept?
A
If there are four independent variables in a multiple regression equation, there are also
four _.
Regression coefficient
Chapter 14 Test Notes 5
A variable that can assume only one of two possible outcomes that take on the values of
either 0 or 1, and is used to incorporate the effect of qualitative variables in a regression
model is referred to as _.
a dummy variable
In m
Chapter 14 Test Notes 7
Stepwise regression analysis is a method that assists in selecting the most significant
variables for a multiple regression equation.
True
A researcher is studying the relationship between 10 different variables and a critical
mea
Chapter 14 Test Notes 6
Interaction occurs when the relationship between an independent variable and a
dependent variable is affected by another independent variable.
True
A multiple regression model includes X1X2. The term is called _.
interaction term
Chapter 14: Evaluating the Assumptions of Multiple Regression
If the points on a scatter diagram seem to be best described by a curving line, which one
of the regression assumptions might be violated?
The linearity assumption
Match Variables
= the predi
Chapter 14. Evaluating a Multiple Regression Equation
How are the coefficients found for a multiple regression equation?
By the least squares method using a statistical software package
Match Variables
= the predicted dependent variable
a = the interce
Inferences in Multiple Linear Regression
Match the terms to their description
t = the t-distribution
" = the ith coefficient
$% = standard deviation of the distribution of "
Given in the software output
0=0
The values against which " is tested
What
Chapter 14: Multiple Regression Analysis
Match Variables
= the predicted dependent variable
a = the intercept
Bn = a coefficient
Xn = the independent variable
How are the coefficients found for a multiple regression equation?
By the least squares met
Chapter 14: Introduction
Match Variables
= the predicted dependent variable
a = the intercept
Bn = a coefficient
Xn = the independent variable
How are the coefficients found for a multiple regression equation?
By the least squares method using a stat
Chapter 14: Stepwise Regression
Match Variables
= the predicted dependent variable
a = the intercept
Bn = a coefficient
Xn = the independent variable
How are the coefficients found for a multiple regression equation?
By the least squares method using
Chapter 14: Regression Models with Interaction
How are the coefficients found for a multiple regression equation?
By the least squares method using a statistical software package
Match Variables
= the predicted dependent variable
a = the intercept
Bn
Chapter 14. Qualitative Independent Variables
What is a dummy variable in the context of regression analysis?
A qualitative variable that has been replaced by a number, usually 0 or 1
How are the coefficients found in a multiple regression equation?
By
Alien Juice Bar Lab
The purpose of this lab is to determine whether common household substances are acidic,
basic, or neutral. You will need to access a website as this is a virtual lab. In addition to
completing the simulation, you need answer the follow
Nonparametric tests require no assumptions about the shape of the population distribution.
True
False
The sample proportion is defined as _.
rev: 03_01_2016_QC_CS-43899
n
X/n
n!
If 20 out of 50 students sampled live in a college dormitory, what is the est
To test the null hypothesis that a set of sample data is normally distributed, we compare an
expected normal distribution of the data to an observed distribution of the data.
True
False
To test if an observed frequency distribution with five classes is no
Which of the following statements is correct regarding the goodness-of-fit
test?
Variables are based on the nominal measurement scale.
Population must be normal.
All the expected frequencies must be equal.
All the expected frequencies must be unequal.
For
The following table classifies 100 individuals using two variables, gender and college attended.
What is this two-way classification called?
Goodness-of-fit test
Frequency table
ANOVA table
Contingency table
Which of the following can be used to test the
If we are testing the difference between two population proportions, it
is assumed that the two populations are approximately normal and have
equal variances.
True
False
pool the
In testing the difference between two population proportions, we
two sample
The chi-square statistic _.
Is greater than or equal to zero
Is less than or equal to zero
Can be any value
Is equal to zero
The computed chi-square value is positive because the difference between
the observed and expected frequencies is _.
Squared
Linea
MC Qu. 18 A valid multiple regression analysis assumes.
A valid multiple regression analysis assumes or requires that _.
rev: 01_19_2016_QC_CS-38007
The dependent variable is measured using an ordinal, interval, or ratio scale
The residuals follow an F di
TF Qu. 12 Stepwise regression analysis is a method tha.
Stepwise regression analysis is a method that assists in selecting the most significant
variables for a multiple regression equation.
True
False
A researcher is studying the relationship between 10 d
MC Qu. 76 A variable that can assume only one of two p.
A variable that can assume only one of two possible outcomes that take on the values
of either 0 or 1,
and is used to incorporate the effect of qualitative variables in a regression model is
referred
In regression, if the relationship between the dependent and independent variables is
non-linear, a linear relationship between the variables can be achieved by:
rescaling the variables.
An example of a way to rescale a variable to create a linear relati
One assumption underlying linear regression is that the X values are normally distributed.
True
Which of the following are true assumptions underlying linear regression?
(1) For each value of X, there is a group of Y values that is normally distributed.
(
The standard error of estimate measures the accuracy (i.e. precision) of a prediction
by measuring the dispersion (of the observed values) about the regression line for a given value
of x.
True
Which of the following is true about the standard error of es
The hypothesis to test the slope of a regression equation is H0: = 0.
False
What is the null hypothesis to test the significance of the slope in a regression equation?
H0: = 0
What is the alternate hypothesis to test the significance of the slope in a reg
The regression equation is used to estimate a value of the dependent variable Y based on a
selected value of the independent variable X.
True
Based on the regression equation, we can _.
Predict the value of the dependent variable given a value of the in