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  77.Which of these represents a logistic regression model?    A. B. C. D. 78.Which of the following is an estimated logistic model?    A. B. C. D. 79.The major advantage of a logistic model over the corresponding linear probability model is that the predicted values of y are always between:    A.-1 and 1. B.0 and 2. C.0 and 1. D.-1 and 0. 80.A logistic.
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  28.A regression equation was estimated as   . If   , the predicted value of y is:   A.-80 B.-90 C.110 D.120 29.A regression equation was estimated as   . If   and   , the predicted value of y would be:   A.29. B.77. C.233. D.281. 30.What is the name of the variable that's used to predict another variable?   A.Response B.Explanatory C.Coefficient of determination D.Standard error of the estimate 31.Consider the.
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  86.The accompanying table shows the regression results when estimating   .  a. Specify the competing hypotheses to determine whether x is significant in y.b. At the 5% significance level, is x significant? Explain.   87.Consider the following regression results based on 40 observations.      a. Specify the hypotheses to determine if the slope differs.
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  50.Exhibit 15-2. A sports analyst wants to exam the factors that may influence a tennis player's chances of winning. Over four tournaments, he collects data on 30 tennis players and estimates the following model:    ,  where Win is the proportion of winning, Double Faults is the percentage of double faults.
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  True / False Questions 1.All variables employed in regression must be quantitative.   2.A dummy variable is a variable that takes on the values of 0 and 1.   3.A dummy variable is commonly used to describe a quantitative variable with discrete or continuous values.   4.In the regression equation   , a dummy variable d affects the.
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  20.Given the following portion of regression results, what is the value of the   test statistic?     A.1.96 B.3.49 C.8.04 D.10 21.Refer to the portion of regression results in the accompanying table. When testing the overall significance of the regression model at the 5% level given a critical value of   , the decision is to:     A.Reject H0 and.
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  92.In a simple linear regression based on 30 observations, the following information is provided:   and   . Also,   evaluated at   is 1.3.a. Construct a 95% confidence interval for E(y) if x = 20.b. Construct a 95% prediction interval for y if x = 20.  93.              In a multiple regression based on 30.
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  Multiple Choice Questions 10.Consider the following simple linear regression model:   . When determining whether x significantly influences y, the null hypothesis takes the form   A. B. C. D. 11.Consider the following simple linear regression model:   . When determining whether there is a one-to-one relationship between x and y, the null hypothesis takes the form   A. B. C. D. 12.Consider the following.
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  True / False Questions 1.If in the multiple linear model the slope coefficient βi is negative, it suggests an inverse (negative) relationship between the explanatory variable xi and the response variable.   2.The test statistic for testing the individual significance is assumed to follow the t distribution with n - k - 2.
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  88.When estimating a multiple regression model based on 30 observations, the following results were obtained.  a. Specify the hypotheses to determine whether x1 is linearly related to y. At the 5 % significance level, use the p-value approach to complete the test. Are x1 and y linearly related? b. Construct the.
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  106.The following portion of regression results was obtained when estimating a simple linear regression model.  a. What is the sample regression equation?b. Interpret the slope coefficient for x1.c. Find the predicted value for y if x1 equals 200.d. Fill in the missing values in the ANOVA table.e. Calculate the standard error.
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  30.In regression, the predicted values concerning y are subject to:   A.Kurtosis. B.Skewness. C.Mean deviation. D.Sampling variation. 31.In regression, the two types of interval estimates concerning y are called:   A.significance interval and prediction interval. B.confidence interval and significance interval. C.confidence interval and prediction interval. D.significance interval and frequency interval. 32.For a given confidence level, the prediction interval is always wider than.
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  112.An investment analyst wants to examine the relationship between a mutual fund's return, its turnover rate and its expense ratio. She randomly selects 10 mutual funds and estimates: Return =   +   Turnover +   Expense +   , where Return is the average five-year return (in %), Turnover is the annual holdings.
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  38.Consider the following data:   , and   . Calculate the sample correlation coefficient,   .   A.-0.40 B.-0.20 C.0.20 D.0.40 39.Consider the following data:   , and   . What is the sample regression equation?   A. B. C. D. 40.Given the augmented Phillips model:   , where y = actual rate of inflation (%), x1 = unemployment rate (%), and x2 = anticipated inflation rate (%)..
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  86.Exhibit 16.6. Thirty employed single individuals were randomly selected to examine the relationship between their age (Age) and their credit card debt (Debt) expressed as a percentage of their annual income. Three polynomial models were applied and the following table summarizes Excel's regression results.  Refer to Exhibit 16.6. What is the.
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  90.Consider the following regression results based on 30 observations.  Notes: Parameter estimates are in the main body of the table with the p-values in parentheses; * represents significance at 5% level. The last row presents the error sum of squares.a. Formulate the hypotheses to determine whether x2 and x3 are jointly.
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  58.The coefficient of determination R2 is ________.   A.sometimes negative. B.always lower than adjusted R2 C.usually higher than adjusted R2 D.always equal to adjusted R2 59.Using the same data set, four models are estimated using the same response variable, however, the number of explanatory variables differs. Which model provides the best fit?     A.Model 1 B.Model 2 C.Model 3 D.Model 4 60.In.
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  40.A researcher gathers data on 25 households and estimates the following model:   . A residual plot of the estimated model is shown in the accompanying graph. What can be inferred from the residual plot?     A.The residuals have little variation. B.The residuals do not exhibit any pattern. C.The residuals seem to fan out across.
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  100.A sociologist estimates the following regression relating Poverty (y) to Education (x1):  In an attempt to improve the results, he adds two more explanatory variables: Median Income (x2, in $1,000s) and the Mortality Rate (x3, per 1,000 residents). The estimated regression equation is:  a. Formulate the hypotheses to determine whether Median Income.
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  98.Assume you ran a multiple regression to gain a better understanding of the relationship between lumber sales, housing starts, and commercial construction. The regression uses Lumber Sales (in $100,000s) as the response variable with Housing Starts (in 1000s) and Commercial Construction (in 1000s) as the explanatory variables. The results of.
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  Essay Questions 78.Exhibit 16.6. Thirty employed single individuals were randomly selected to examine the relationship between their age (Age) and their credit card debt (Debt) expressed as a percentage of their annual income. Three polynomial models were applied and the following table summarizes Excel's regression results.  Refer to Exhibit 16.6. What is.
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  104.A simple linear regression,   , is estimated using cross-sectional data from 10 firms. The resulting residuals e, along with the values of the explanatory variable Advertising (x, in $100s), are shown in the accompanying table.  a. Graph the residuals e against Advertising (x) and look for any discernible pattern.b. Which assumption.
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  11.In the simple linear regression model, β0 is the y-intercept of the line   .   12.The value 0.75 of a sample correlation coefficient indicates a stronger linear relationship than that of 0.60.   13.The value 0.35 of a sample correlation coefficient indicates a weaker linear relationship than that of -0.40.   14.The value -0.75 of a.
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  96.An investment analyst wants to examine the relationship between a mutual fund's return, its turnover rate and its expense ratio. She randomly selects 10 mutual funds and estimates: Return = β0 + β1 Turnover + β2 Expense + ε, where Return is the average five-year return (in %), Turnover is.
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  88.Exhibit 16.6. Thirty employed single individuals were randomly selected to examine the relationship between their age (Age) and their credit card debt (Debt) expressed as a percentage of their annual income. Three polynomial models were applied and the following table summarizes Excel's regression results.  Refer to Exhibit 16.6. Suppose the restriction.
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  108.The following ANOVA table was obtained when estimating a multiple regression model.  a. Calculate the standard error of the estimate.b. Calculate the coefficient of determination.c. Calculate adjusted R2.   109.The following portion of regression results was obtained when estimating a multiple regression model.  a. What is the sample regression equation?b. Interpret the slope coefficient.
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  60.Exhibit 15-4. A researcher analyzes the factors that may influence amusement park attendance and estimates the following model:    ,  where Attendance is the daily attendance (in 1000s), Price is the gate price (in $), and Rides is the number of rides at the amusement park. The researcher would like to.
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  68.Exhibit 14-2. A statistics student is asked to estimate   . She calculates the following values.  Refer to Exhibit 14-2. What is the sample regression equation?   A. B. C. D. 69.Exhibit 14-2. A statistics student is asked to estimate   . She calculates the following values.  Refer to Exhibit 14-2. What is y if x equals 2?   A.6.62 B.11.78 C.58.22 D.63.38 70.Exhibit 14-3. Consider.
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  48.Calculate the value of   given the ANOVA portion of the following regression output:     A.0.151 B.0.515 C.0.849 D.1.000 49.Which of the following is not true of the standard error of the estimate?   A.It can take on negative values. B.Theoretically, its value has no predefined upper limit. C.It is a measure of the accuracy of the regression model. D.It is based.
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  Multiple Choice Questions 16.Although a polynomial regression model of order two or more is nonlinear, when it is fitted to the data we use the _______ regression to make this fit.   A.nonlinear B.logistic C.polynomial D.linear 17.Which of the following regression models is not polynomial?   A.y = β0 + β1x + ε B.y = β0 + β1x + β2x2.
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  66.Exhibit 16-4. The following data shows the cooling temperatures of a freshly brewed cup of coffee after it is poured from the brewing pot into a serving cup. The brewing pot temperature is approximately 180º F; see http://mathbits.com/mathbits/tisection/statistics2/exponential.htm  For the assumed exponential model ln(Temp) = β0 + β1Time + ε, the.
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  94.In a multiple regression based on 30 observations, the following information is provided:   with se = 16. Also, when   , and     .a. Construct a 90% confidence interval for E(y) if   , and   .b. Construct a 90% prediction interval for y if   , and   .c. Which interval is narrower? Explain.   95.A manager.
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  True / False Questions 1.A quadratic regression model is a special type of a polynomial regression model.   2.The equation y = β0 + β1x + β2x2 + ε is called a cubic regression model.   3.The curve representing the regression equation   has a U-shape if b2 > 0.   4.The cubic regression model, y = β0.
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  80.Exhibit 16.6. Thirty employed single individuals were randomly selected to examine the relationship between their age (Age) and their credit card debt (Debt) expressed as a percentage of their annual income. Three polynomial models were applied and the following table summarizes Excel's regression results.  Refer to Exhibit 16.6. Using the quadratic.
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  110.A researcher analyzes the relationship between amusement park attendance and the price of admission. She estimates the following model:  ,where Attendance is the daily attendance (in 1000s) and Price is the gate price (in $). A portion of the regression results is shown in the accompanying table.  a. Predict the Attendance for.
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  36.Exhibit 16.2. Typically, the sales volume declines with an increase of a product price. It has been observed, however, that for some luxury goods the sales volume may increase when the price increases. The following Excel output illustrates this rather unusual relationship.  Refer to Exhibit 16.2. For the considered range of.
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  70.Exhibit 15-6. Tiffany & Co. has been the world's premier jeweler since 1837. The performance of Tiffany's stock is likely to be strongly influenced by the economy. Monthly data for Tiffany's risk-adjusted return and the risk-adjusted market return are collected for a five-year period (n = 60). The accompanying table.
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  84.Exhibit 16.6. Thirty employed single individuals were randomly selected to examine the relationship between their age (Age) and their credit card debt (Debt) expressed as a percentage of their annual income. Three polynomial models were applied and the following table summarizes Excel's regression results.  Refer to Exhibit 16.6. What is the.
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  Multiple Choice Questions 18.Which of the following identifies the range for a correlation coefficient?   A.Any value less than 1 B.Any value greater than 0 C.Any value between 0 and 1 D.None of the above 19.A correlation coefficient r = -0.85 could indicate a:   A.Very weak positive linear relationship. B.Very strong negative linear relationship. C.Very weak negative linear relationship. D.Very strong.
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  Essay Questions 86.Exhibit 17.7. To examine the differences between salaries of male and female middle managers of a large bank, 90 individuals were randomly selected and the following variables considered:Salary = the monthly salary (excluding fringe benefits and bonuses),Educ = the number of years of education,Exper = the number of months.
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  26.Exhibit 16-1. The following Excel scatterplot with the fitted quadratic regression equation illustrates the observed relationship between productivity and the number of hired workers.      Refer to Exhibit 16.1. The quadratic regression equation found is:    A.= 35.086 + 6.0523Hires - 0.1023Hires2. B.= 6.0523 + 35.086Hires - 0.1023Hires2. C.= 6.0523 - 35.086Hires +.
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  82.Exhibit 16.6. Thirty employed single individuals were randomly selected to examine the relationship between their age (Age) and their credit card debt (Debt) expressed as a percentage of their annual income. Three polynomial models were applied and the following table summarizes Excel's regression results.  Refer to Exhibit 16.6. What is the.
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