MKT 343 FINAL EXAM QUESTIONS AND ANSWERS
There must also be one or more indeendent variables that are all - Answers -
categorical.
Analysis of Variance (ANOVA) - Answers - is used as a test of measurement for 2 or
more populations
The null hypothesis, typically, is that all means are equal
With interpreations, the slope coefficient b represents___________ - Answers - the
change in the predicted value of the dependent variable per one-unit changein the
independent variabnle
Conducting One-Way ANOVA - Answers - Identify the dependent and independent
variables, decompose the total variation, measure the effects, test the significance,
interpret the results
The total variation in Y, denoted by SSy, can be decomposed into two components: -
Answers - SSy = SSbetween + SSwithin
where the subscripts between and within refer to the categories of X.
The correlation coefficient between two variables will be the same regardless of -
Answers - their underlying units of measurement
Regression Analysis - Answers - a set of statistical processes for estimating the
relationships among variables; independent and dependent
scatter diagram - Answers - a plot of the values of 2 variables for all the cases or
observations
r varies - Answers - between -1 and 1
If moves in the same direction = positive
-When one is increasing, other is increasing, and vice versa
When one is increasing, other is decreasing, and vice versa = negative
When determining the strength and significance of association - Answers - The total
variation ,SSy, maybe decomposed into the variation accounted for by the regression
line, SSreg, and the error or residual variation, SSerror or SSreg
, Multiple Regression - Answers - The general form of the multiple regression model: y =
Bo + B1X1 +B2X2 + B3X3 + .... BkXk+e
The coefficient of determination may then be calculated as follows: - Answers - r^2 =
SSreg/SSy = SSy - SSres/SSy
SSbetween - Answers - SSx
SSwithin - Answers - SSerror
SSy - Answers - is the total variation in Y
Conducting One-Way Analysis of Variance - Answers - In analysis of variance, we
estimate two measures of variation: within group (SSwithin) and between groups
(SSbetween). Thus, by comparing the Y variance estimate based on between-group
and within-group variation, we can test the null hypothesis.
In One-Way Analysis of Variance, the strength of the effects of X and Y are measured
by - Answers - n^2 = SSx / SSy = (SSy - SSerror) / SSy
SSbetween, SSx, is the variation in Y related to the variation in the means of the
categories of X - Answers - This represents variation between the categories of X
Analysis of variance must have a depemndent variable that is an - Answers - interval or
ratio scale
Categorial independent variables are also called - Answers - factors
A particular combination of factor levels, or categories, is called a - Answers - treatment
One-way - Answers - analysis of variance involves only one categorical variable, or a
single factor
The value of n^2 varies between - Answers - 0 and 1
The null hypothesis may be tested by the ___________________ based on the ratio
between these two estimates: F = [SSx / (c-1)] / [SSerror / (N-c)] - Answers - F statistic
This statistic follows the F distribution, with (c-1) and (N-c) degrees of freedom (df)
represents the differences between the regression line and the actual data
If the null hypothesis of equal category means is not rejected.. - Answers - then the
independent variable does not have a significant effect on the dependent variable
There must also be one or more indeendent variables that are all - Answers -
categorical.
Analysis of Variance (ANOVA) - Answers - is used as a test of measurement for 2 or
more populations
The null hypothesis, typically, is that all means are equal
With interpreations, the slope coefficient b represents___________ - Answers - the
change in the predicted value of the dependent variable per one-unit changein the
independent variabnle
Conducting One-Way ANOVA - Answers - Identify the dependent and independent
variables, decompose the total variation, measure the effects, test the significance,
interpret the results
The total variation in Y, denoted by SSy, can be decomposed into two components: -
Answers - SSy = SSbetween + SSwithin
where the subscripts between and within refer to the categories of X.
The correlation coefficient between two variables will be the same regardless of -
Answers - their underlying units of measurement
Regression Analysis - Answers - a set of statistical processes for estimating the
relationships among variables; independent and dependent
scatter diagram - Answers - a plot of the values of 2 variables for all the cases or
observations
r varies - Answers - between -1 and 1
If moves in the same direction = positive
-When one is increasing, other is increasing, and vice versa
When one is increasing, other is decreasing, and vice versa = negative
When determining the strength and significance of association - Answers - The total
variation ,SSy, maybe decomposed into the variation accounted for by the regression
line, SSreg, and the error or residual variation, SSerror or SSreg
, Multiple Regression - Answers - The general form of the multiple regression model: y =
Bo + B1X1 +B2X2 + B3X3 + .... BkXk+e
The coefficient of determination may then be calculated as follows: - Answers - r^2 =
SSreg/SSy = SSy - SSres/SSy
SSbetween - Answers - SSx
SSwithin - Answers - SSerror
SSy - Answers - is the total variation in Y
Conducting One-Way Analysis of Variance - Answers - In analysis of variance, we
estimate two measures of variation: within group (SSwithin) and between groups
(SSbetween). Thus, by comparing the Y variance estimate based on between-group
and within-group variation, we can test the null hypothesis.
In One-Way Analysis of Variance, the strength of the effects of X and Y are measured
by - Answers - n^2 = SSx / SSy = (SSy - SSerror) / SSy
SSbetween, SSx, is the variation in Y related to the variation in the means of the
categories of X - Answers - This represents variation between the categories of X
Analysis of variance must have a depemndent variable that is an - Answers - interval or
ratio scale
Categorial independent variables are also called - Answers - factors
A particular combination of factor levels, or categories, is called a - Answers - treatment
One-way - Answers - analysis of variance involves only one categorical variable, or a
single factor
The value of n^2 varies between - Answers - 0 and 1
The null hypothesis may be tested by the ___________________ based on the ratio
between these two estimates: F = [SSx / (c-1)] / [SSerror / (N-c)] - Answers - F statistic
This statistic follows the F distribution, with (c-1) and (N-c) degrees of freedom (df)
represents the differences between the regression line and the actual data
If the null hypothesis of equal category means is not rejected.. - Answers - then the
independent variable does not have a significant effect on the dependent variable
