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  68.Based on the regression equation, we can _______________.    B. Predict the value of the independent variable given a value of the dependent variable C. Measure the association between two variables D. Measure cause and effect 69.Which of the following is true about the standard error of estimate?    B. It is based on squared vertical deviations between Y and X. C. It.
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  79.In an ANOVA table for a multiple regression analysis, total variation is separated into _________.    A. Treatment and error variation C. Treatment and block variation D. Block and error variation 80.In an ANOVA table for a multiple regression analysis, the regression mean square is __________.    A. The treatment sum of squares divided by the regression degrees of freedom B. n -.
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  91.In a one-way ANOVA, ______ degrees of freedom are associated with the numerator of the F ratio.    92.A sum of squares divided by its corresponding degrees of freedom is called a ________________.    93.Assuming that the larger of two variances is in the numerator of an F-statistic, the rejection region to test a.
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  19.The computed value of a chi-square statistic is always positive because the numerator is the difference between the observed frequencies and the expected frequencies ______________.    20.A chi-square goodness-of-fit test is used to determine how well an observed distribution fits an _________ distribution.    21.As the degrees of freedom increase, the shape of a.
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  26.In multiple regression analysis, a correlation matrix is used to check for ___________.    27.In the ANOVA table for a multiple regression analysis, the regression degrees of freedom is equal to ___________________.    28.In a multiple regression analysis, the statistic used to evaluate the presence of correlated independent variables is __________________.    29.In an ANOVA for.
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  11.For a goodness-of-fit test, the following are possible null and alternate hypotheses:H0: Sales are uniformly distributed among the five locations.H1: Sales are not uniformly distributed among the five locations.    12.The use of the chi-square statistic would be permissible in the following goodness-of-fit test.      13.In the goodness-of-fit test, the chi-square distribution is used.
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  76.ANOVA is a statistical approach used to determine whether or not _________.    A. the means of two or more samples are equal B. the means of two samples are equal C. the means of two or more populations are equal D. the means of more than two samples are equal 77.In an ANOVA problem involving three treatments and 12.
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  48.What does the coefficient of determination equal if r = 0.89?    A. 0.9412 B. 0.0121 D. 0.1100 49.Which value of r indicates a stronger correlation than 0.40?    A. -0.30 C. +0.38 D. 0 50.What is the range of values for the coefficient of determination?    A. -1 to +1 inclusive B. -100% to +100% inclusive C. -100% to 0% inclusive 51.If we reject the null hypothesis, H0:   , what can we conclude.
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  110.A company wants to study the effect of an employee's length of employment on their number of workdays absent. The company collected the following information on a random sample of seven employees.  What is the independent variable (X)?    111.A company wants to study the effect of an employee's length of employment on.
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  1.Nonparametric tests require no assumptions about the shape of the population distribution.    2.The claim that "male and female students at Coastal Carolina University prefer different parking lots on campus" is an example of a chi-square null hypothesis.    3.The chi-square test statistic used in a goodness-of-fit test has k - 1 degrees of.
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  107.The population correlation coefficient is represented by ____.    108.If there is perfect correlation, the value of the correlation coefficient is __________.    109.The general form of the regression equation is ____________.        .
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  29.For any goodness-of-fit test, the null hypothesis is that there is ____ difference between the expected and observed distributions.    30.A contingency table shows the frequencies for three levels of income with gender. There are ______ degrees of freedom to test the null hypothesis that income and gender are independent.    31.In a contingency.
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  51.A question has these possible responses: excellent, very good, good, fair, and unsatisfactory. What are the degrees of freedom for a goodness-of-fit test to test the hypothesis that responses are uniformly distributed?    A. 0 B. 2 D. 5 52.What is the critical value at the 0.05 level of significance for a goodness-of-fit test if there are six.
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  61.For people released from prison, the following table shows their adjustment to civilian life and place of residence.  What is the critical value for this contingency table at the 0.01 level of significance?    A. 9.488 B. 2.070 D. 13.277 62.The contingency table for a sample of corporate executives classified by educational level and the social activity follows.  What does.
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  46.Two accounting professors decided to compare the variance of their grading procedures. To accomplish this, they each graded the same 10 exams, with the following results:  What is the null hypothesis?    A.  B.  C.  D.  47.Two accounting professors decided to compare the variance of their grading procedures. To accomplish this, they each graded the same 10.
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  131.What is the advantage of using ANOVA to test for differences among treatment means rather than testing all possible pairs of treatment means?    132.What is the purpose of using a blocking variable in a two-way ANOVA?    133.When testing a hypothesis regarding the equality of two population means, what is the analogy to.
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  124.Using the following regression analysis:  What is the residual mean square?    125.Using the following regression analysis:  What is the F-statistic for the ANOVA?    126.Using the following regression analysis:  What is the t test statistic to test the significance of the slope?    127.Using the following regression analysis:  What is the coefficient of determination?    128.An advertising company wanted to study.
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  16.Correlation among successive observations of the dependent variable is called ________________.    17.In multiple regression, the multiple R2 measures the proportion of ____________.    18.In multiple regression, the ______________ summarizes the difference between the predicted and actual values of the dependent variable.    19.In multiple regression, the ________ is used to test the global hypothesis.    20.In multiple.
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  49.In multiple regression analysis, when the independent variables are highly correlated, this situation is called __________________.    A. Autocorrelation C. Homoscedasticity D. Curvilinearity 50.In the general multiple regression equation, which of the following variables represents the Y-intercept?    A. b1 B. X1 C. ? 51.If there are four independent variables in a multiple regression equation, there are also four ______.    A. Y-intercepts C. Dependent variables D. Constant terms 52.If a data set of.
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  39.To evaluate the assumption of linearity, a multiple regression analysis should include ___________.    A. A calculation of variance inflation factors B. Hypothesis tests of individual regression coefficients D. An ANOVA table 40.In multiple regression analysis, residual analysis is used to test the requirement that ___________.    B. The independent variables are the direct cause of the dependent variable C. The number of.
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  66.The college of business was interested in comparing the attendance for three different class times for a business statistics class. The data follow.  What is the blocking variable?    A. Day B. Class time C. Tuesday D. 8:00 a.m. class 67.The college of business was interested in comparing the attendance for three different class times for a business statistics class. The.
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  130.High school students were interested in a teacher's claim that the longer the length of time (hours) that a student studies for a test, the higher the test score. The students collected the data and the teacher did the regression analysis with the following results.  To test the null hypothesis that.
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  1.Multiple regression analysis is used when one independent variable is used to predict values of two or more dependent variables.    2.If the hypothesis H0: β1 = 0, is rejected, then the sample regression coefficient b1 indicates the change in the predicted value for a unit change in X1 when all other.
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  88.A sales manager for an advertising agency believes there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned.A regression analysis shows the following results:     = 33.4.  = 2814.4.The 95% prediction interval for a particular person making 30 calls is _______.    A. 55.8, 51.5 B. 51.4,.
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  121.A multiple regression analysis showed the following ANOVA table result.  Based on the information in the ANOVA, how many independent variables were included in the multiple regression analysis?    122.A multiple regression analysis showed the following ANOVA table result.  Based on the information in the ANOVA, what is the multiple coefficient of determination expressed.
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  56.A random sample of 30 executives from companies with assets over $1 million was selected and asked for their annual income and level of education. The ANOVA comparing the average income among three levels of education rejected the null hypothesis. The mean square error (MSE) was 243.7. The following table.
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  26.If the correlation between sales and advertising is +0.6, _____% of the variation in sales can be attributed to advertising.    27.A chart that shows the relationship between a continuous dependent variable and a continuous independent variable is called a ____________.    28._______________ is the technique used to predict or estimate the value of.
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  129.A multiple regression analysis showed the following results of the individual independent variables.  Which independent variables are significantly related to the dependent variable?    130.A multiple regression analysis showed the following results of the individual independent variables.  X4 is a qualitative variable. If X4 is equal to one, what is the variable's effect on.
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  134.High school students were interested in a teacher's claim that the longer the length of time (hours) that a student studies for a test, the higher the test score. The students collected the data and the teacher did the regression analysis with the following results.  If a student studies 10 hours,.
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  98.A regression analysis yields the following information:  ; n = 10; sy?x = 1.66;ΣX = 32;ΣX2 = 134;   Compute the 95% prediction interval when X = 4.    A. 0.0, 4.05 B. 2.67, 5.33 D. 6.873, 9.527 99.The value of the correlation coefficient (r):    B. can never be equal to the value of the coefficient of determination (r2). C. can range from -2.0.
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  107.It has been hypothesized that overall academic success for college freshmen as measured by grade point average (GPA) is a function of IQ scores, X1, hours spent studying each week, X2, and one's high school average, X3. Suppose the regression equation is   . The multiple standard error is 6.313 and.
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  89.Twenty-one executives in a large corporation were randomly selected to study the effect of several factors on annual salary (expressed in $000s). The factors selected were age, seniority, years of college, number of company divisions they had been exposed, to and the level of their responsibility. The results of the.
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  81.The F distribution is a ______________ distribution.    82.The shape of the F distribution is _____________________.    83.The minimum and maximum of values of an F statistic are _______ and ______.    84.All values in an F distribution must be _____________.    85.The test statistic used to compare two variances is the ___________ statistic.    86.The F distribution is useful.
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  1.A scatter diagram is a graph that portrays the correlation between a dependent variable and an independent variable.    2.An economist is interested in predicting the unemployment rate based on gross domestic product. Since the economist is interested in predicting unemployment, the independent variable is gross domestic product.    3.Correlation analysis is a statistical.
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  16.In plotting paired data in a scatter diagram, the dependent variable is scaled on the __________________.    17.If there is absolutely no relationship between two variables, Pearson's r will equal _____.    18.If the coefficient of correlation is 0.80, the coefficient of determination is _____.    19.If the coefficient of determination is 0.81, the coefficient of.
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  58.What is the test statistic to test the significance of the slope in a regression equation?    A. z-statistic B. F-statistic D. π-statistic 59.What are the degrees of freedom used to test the significance of the slope in a simple linear regression equation?    A. n - 1 C. n - 1, n - 2 D. (n - 1)(n - 2) 60.What is the alternate hypothesis.
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  11.For a global test of a multiple regression equation, the F distribution is defined by the regression and residual degrees of freedom.    12.Stepwise regression analysis is a method that assists in selecting the most significant variables for a multiple regression equation.    13.Stepwise regression analysis is also called a "backward elimination" method.    14.Interaction occurs.
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  105.The null hypothesis for an ANOVA comparing three population means is ___________________.    106.A bottle cap manufacturer with four machines and six operators wants to see if variation in production is due to the machines and/or the operators. The ANOVA table follows.  What are the degrees of freedom for the machines?    107.A bottle cap.
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  114.Twenty-one executives in a large corporation were randomly selected to study the effect of several factors on annual salary (expressed in $000s). The factors selected were age, seniority, years of college, number of company divisions they had been exposed to, and the level of their responsibility. The results of the.
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  38.What is the chart called when the paired data (the dependent and independent variables) are plotted?    B. A bar chart C. A pie chart D. A histogram 39.In regression analysis, what is the predictor variable called?    B. Dependent variable C. Correlation variable D. Variable of determination 40.Which of the following statements regarding the coefficient of correlation is true?    A. It ranges from 0.0 to +1.0 inclusive. C. A.
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  78.A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned. What is the dependent variable?    A. Salesperson B. Number of contacts D. Sales manager 79.A sales manager for an advertising agency believes that there is a relationship between.
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  39.The test statistic for a goodness-of-fit test for unequal expected frequencies is a __________ statistic.    40.The purpose of pooling the sample proportions when testing the difference between two population proportions is to ___________.    41.The pooled estimate of the proportion is found by dividing the total number of successes by ___________________________.    42.If we are.
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  126.An ANOVA showed the following comparison of four treatment means.  Which treatment means are significantly different?    127.An ANOVA comparing the waiting times for four different emergency rooms shows the following comparison of the four mean waiting times.  Which two pairs of means are significantly different?    128.A random sample of 20 female executives from companies.
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  69.All other things being held constant, what is the change in the dependent variable for a unit change in X1 for the multiple regression equation: ? = 5.2 + 6.3X1 - 7.1 X2?    A. -7.1 C. +5.2 D. +4.4 70.The best example of a null hypothesis for a global test of a multiple regression model is _________.    B. H0:.
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  99.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 ________.    B. a constant endogenous variable C. an interaction D. a constant 100.Consider a regression model involving more.
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  59.What does the correlation matrix for a multiple regression analysis contain?    A. Multiple correlation coefficients C. Multiple coefficients of determination D. Multiple standard errors of estimate 60.What can we conclude if the global test of regression does not reject the null hypothesis?    A. A strong relationship exists among the variables. C. The independent variables are good predictors. D. Good forecasts are possible. 61.What can.
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