MIS 345 EXAM 2
QUIZ 4:
1. Data collected from approximately the same period of time from a cross-sec- tion of a population are called:
time series data linear data
cross-sectional data
historical data: cross-sectional data
2. Outliers are observations that:
lie outside the sample render the
study useless
lie outside the typical pattern of points on a scatterplot
disrupt the entire linear trend: lie outside the typical pattern of points on a scatterplot
3. In regression analysis, if there are several explanatory variables, it is called:
simple regression multiple
regression compound regression
composite regression: multiple regression
4. In choosing the "best-fitting" line through a set of points in linear regres- sion, we choose the one with the:
smallest sum of squared residuals largest sum of squared
residuals smallest number of outliers
1/
19
, MIS 345 EXAM 2
Study online at
https://quizlet.com/_c9bw5s
largest number of points on the line: smallest sum of squared residuals
5. The standard error of the estimate () is essentially the mean of the residuals
standard deviation of the residuals mean of the
explanatory variable
standard deviation of the explanatory variable: standard deviation of the residu- als
6. In multiple regression, the constant (Alpha) :
is the expected value of the dependent variable Y when all of the independent variables have the
value zero
is necessary to fit the multiple regression line to set of points must be adjusted for the number of
independent variables
are all of these options: is the expected value of the dependent variable Y when all of the
independent variables have the value zero
7. T/F
The two primary objectives of regression analysis are to study relationships between variables and to use those
relationships to make predictions.: TRUE
8. T/F
If a categorical variable is to be included in a multiple regression, a dummy variable for each category of the
variable should be used, but the original categorical variables should not be sued.: TRUE
9. The regression line has been fitted to the data points (28, 60), (20, 50), (10, 18), and (25, 55). The sum of the
squared residuals will be:
20.25
16.00
2/
19
, MIS 345 EXAM 2
Study online at
https://quizlet.com/_c9bw5s
49.00
94.25: 94.25
10.In linear regression, a dummy variable is used:
to represent residual variables
to represent missing data in each sample
to include hypothetical data in the regression equation
to include categorical variables in the regression equation
when "dumb" responses are included in the data: to include categorical vari- ables in the regression equation
11.Correlation is a summary measure that indicates:
a curved relationship among the variables
the rate of change in Y for a one unit change in X
the strength of the linear relationship between pairs of variables
the magnitude of difference between two variables: the strength of the linear relationship between pairs of variables
12.The weakness of scatterplots is that they:
do not help identify linear relationships
can be misleading about the types of relationships they indicate only help identify outliers
do not actually quantify the relationships between variables: do not actually quantify the relationships between
variables
13.In regression analysis, which of the following causal relationships are possible?
3/
19
QUIZ 4:
1. Data collected from approximately the same period of time from a cross-sec- tion of a population are called:
time series data linear data
cross-sectional data
historical data: cross-sectional data
2. Outliers are observations that:
lie outside the sample render the
study useless
lie outside the typical pattern of points on a scatterplot
disrupt the entire linear trend: lie outside the typical pattern of points on a scatterplot
3. In regression analysis, if there are several explanatory variables, it is called:
simple regression multiple
regression compound regression
composite regression: multiple regression
4. In choosing the "best-fitting" line through a set of points in linear regres- sion, we choose the one with the:
smallest sum of squared residuals largest sum of squared
residuals smallest number of outliers
1/
19
, MIS 345 EXAM 2
Study online at
https://quizlet.com/_c9bw5s
largest number of points on the line: smallest sum of squared residuals
5. The standard error of the estimate () is essentially the mean of the residuals
standard deviation of the residuals mean of the
explanatory variable
standard deviation of the explanatory variable: standard deviation of the residu- als
6. In multiple regression, the constant (Alpha) :
is the expected value of the dependent variable Y when all of the independent variables have the
value zero
is necessary to fit the multiple regression line to set of points must be adjusted for the number of
independent variables
are all of these options: is the expected value of the dependent variable Y when all of the
independent variables have the value zero
7. T/F
The two primary objectives of regression analysis are to study relationships between variables and to use those
relationships to make predictions.: TRUE
8. T/F
If a categorical variable is to be included in a multiple regression, a dummy variable for each category of the
variable should be used, but the original categorical variables should not be sued.: TRUE
9. The regression line has been fitted to the data points (28, 60), (20, 50), (10, 18), and (25, 55). The sum of the
squared residuals will be:
20.25
16.00
2/
19
, MIS 345 EXAM 2
Study online at
https://quizlet.com/_c9bw5s
49.00
94.25: 94.25
10.In linear regression, a dummy variable is used:
to represent residual variables
to represent missing data in each sample
to include hypothetical data in the regression equation
to include categorical variables in the regression equation
when "dumb" responses are included in the data: to include categorical vari- ables in the regression equation
11.Correlation is a summary measure that indicates:
a curved relationship among the variables
the rate of change in Y for a one unit change in X
the strength of the linear relationship between pairs of variables
the magnitude of difference between two variables: the strength of the linear relationship between pairs of variables
12.The weakness of scatterplots is that they:
do not help identify linear relationships
can be misleading about the types of relationships they indicate only help identify outliers
do not actually quantify the relationships between variables: do not actually quantify the relationships between
variables
13.In regression analysis, which of the following causal relationships are possible?
3/
19