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STATS - If sales is the variable you are trying to explain and you have 2 independent variables

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Question;Question 1 of 343.0 PointsIf sales is the variable you are trying to explain and you have 2 independent variables of color and price. The color coefficient is -5, and the price coefficient is -20. You have an intercept coefficient of 500 and an r-squared value of.2500. Using this multiple regression analysis, predict the amount of sales with a colorrank of 5 and a price of 20 dollars.A. The sales will be between 0 and 100B. The sales will be between 101 and 200C. The sales will be between 201 and 800D. The sales will be above 801E. You will actually have negative sales using this multiple regressionanalysisReset SelectionQuestion 2 of 343.0 PointsIn multiple regression analysis you can have 2 or more independent variables.A. TrueB. FalseReset SelectionQuestion 3 of 343.0 PointsIf sales is the variable you are trying to explain and you have 3 independentvariables of video marketing, radio marketing, and price. The video marketingcoefficient is 100, the radio marketing coefficient is 20, and the price coefficient is-20. You have an intercept coefficient of 500 and an r-squared value of.6500.Using this multiple regression analysis, predict the amount of sales with 500dollars being spent on video marketing, 500 dollars being spent on radiomarketing, and the price is 100 dollars.A. The sales will be between 0 and 4,800B. The sales will be between 4,801 and 6,000C. The sales will be between 6,001 and 8,000D. The sales will be above 8,001E. You will actually have negative sales using this multiple regressionanalysisQuestion 4 of 343.0 PointsIf sales is the variable you are trying to explain and you have 2 independentvariables of color and price. The color coefficient is -50, and the price coefficientis -20. You have an intercept coefficient of 5000 and an r-squared value of.2500.Using this multiple regression analysis, predict the amount of sales with a colorrank of 5 and a price of 200 dollars.A. The sales will be between 0 and 500B. The sales will be between 501 and 600C. The sales will be between 601 and 800D. The sales will be above 801E. You will actually have negative sales using this multiple regressionanalysisReset SelectionQuestion 5 of 343.0 PointsThe general purpose of multiple regression is to learn more about therelationship between several independent or predictor variables and a dependentor criterion variable.A. TrueB. FalseReset SelectionQuestion 6 of 343.0 PointsIf the sum of squares regression is 100 and the sum of squares total is 500. Giventhat the sum of squares residual (or error) is 400 what is the r-squared value?A. lower than.25B. between.26 and.5C. between.51 and.75D. between.76 and 1.00E. greater than 1.01Reset SelectionQuestion 7 of 343.0 PointsThe r-squared never decreases when a new variable is added to the regressionequation.A. TrueB. FalseReset SelectionQuestion 8 of 343.0 PointsWhich of the following statements is NOT true?A. adjusted r-squared is always smaller than the r squared valueB. the adjusted r-squared value will always decrease with the addition of another variableC. the r-squared value cannot decrease when a new variable is added to the regression.D. the adjusted r-squared, more so than the r-squared, is more useful for comparing differentregression models.E. All of the aboveQuestion 9 of 343.0 PointsYou are trying to interpret a t-test for your multiple regression analysis. You had10 total observations with 3 independent variables. The regression on theindependent variables returned coefficients and t-stats as follows Pricecoefficient: -10 and t stat is -7. Location coefficient: 2 and t stat is 3. Advertisingcoefficient is 100 and t stat is 1.0. Which of the following statements is anaccurate interpretation of the situation when using an alpha of.10?A. Only the price and location variables are significant.B. Our output goes down 10 for every 1 dollar increase in price.C. The critical value you should use is 1.943 and -1.943D. All of the aboveE. None of the above.Question 10 of 343.0 PointsYou are trying to interpret a t-test for your multiple regression analysis. You had25 total observations with 2 independent variables. The regression on theindependent variables returned coefficients and t-stats as follows Pricecoefficient: -100 and t stat is -1.75. Location coefficient: 2 and t stat is 3.5. Whichof the following statements is an accurate interpretation of the situation whenusing an alpha of.05?A. Only the location variable is significant.B. Our output goes down 100 for every 1 dollar increase in price.C. The critical value you should use is 2.074 and -2.074D. All of the aboveE. None of the above.Reset SelectionQuestion 11 of 343.0 PointsA dummy variable is a continuous numerical variable.A. TrueB. FalseReset SelectionQuestion 12 of 343.0 PointsIn multiple regression analysis, a dummy variable is one that takes the values 0or 1 to indicate the absence or presence of some categorical effect. If thecoefficient on a dummy variable is 15 that means that if the variable is present,we should expect our depedent variable to increase by 15.A. TrueB. FalseQuestion 13 of 343.0 PointsCompare two models. Model #1 has an r-squared of.55 and an adjusted r-squaredof.50. Model #2 has an r-squared of.52 and an adjusted r-squared of.51. Giventhis information, what model should you use?A. Use model 1 because r-squared is higherB. Use model 2 because adjusted r-squared is higherC. Use model 1 because the combination of r-squared and adjusted r-squared is higherD. Use model 2 because the combination of r-squared and adjusted r-squared is lowerE. Use model 1 because the adjusted r-squared is lowerReset SelectionQuestion 14 of 343.0 PointsCompare two models. Model A has an r-squared of.85 and an adjusted r-squaredof.60. Model B has an r-squared of.76 and an adjusted r-squared of.63. Giventhis information, what model should you use?A. Use model A because the adjusted r-squared is lower.B. Use model B because the r-squared is higherC. Use model A because the r-squared is higher than the adjusted r-squared of model BD. Use model B because the combination of r-squared and adjusted r-squared is higherE. Use model B because the adjusted r-squared is higherReset SelectionQuestion 15 of 343.0 PointsCompare 2 models. Model Q has an r-squared of.90 and an adjusted r-squaredof.80. Model Z has an r-squared of.94 and an adjusted r-squared of.82. Giventhis information, what model should you choose?A. Use model Z because adjusted r-squared is higherB. Use model Q because r-squared is lowerC. Use model Q because the combination of r-squared and adjusted r-squared is lowerD. Use model Z because the combination of r-squared and adjusted r-squared is higherE. Use model Q because the adjusted r-squared is lowerReset SelectionQuestion 16 of 343.0 PointsThe independent variable is the variable you wish to explain.A. TrueB. FalseReset SelectionQuestion 17 of 343.0 PointsYou are a realtor with a small business. You use a simple 2 variable linearregression analysis for quick first glance house price estimates using squarefootage of the house. You are asked by a customer what the price for his housewould be given that his house has 1,500 square feet. The number you are tryingto explain is the potential price of the house. You look at your numbers from hisneighborhood and run the regression analysis. Your program returns thefollowing data: R square:.5808, Square footage (X) Coefficient: 95.0,Observations: 20, Degrees of Freedom: 19, Intercept t-stat: 1.87, Multiple R:.7723,Intercept Coefficient: 120,200, Square footage (X) Standard Error:.0288. What isthe best first glance prediction you can give the customer about the value of hishouse given your 2 variable linear regression analysis?A. 0 to 500B. 501 to 100,000C. 100,001 to 200,000D. 200,001 to 400,000E. 400,001 to 1.5millionReset SelectionQuestion 18 of 343.0 PointsThe r2 (r-squared) value is equal to the sum of squares regression divided by______________.A. the sum of squares errorB. the sum of squares totalC. the sum of squares residualD. the adjusted r-squaredE. the degrees of freedomReset SelectionQuestion 19 of 343.0 PointsName a L.I.N.E assumption of regression analysis.A. Interconnectedness of variance equationsB. Non-hyperbolated numerarity.C. LinearityD. Initiated variancesE. None of the aboveReset SelectionQuestion 20 of 343.0 PointsYou are doing regression analysis and your t-stat for your independent variable isnegative and significant. Thus, you can conlude that you have a linearrelationship between the independent and dependent variables.A. TrueB. FalseReset SelectionQuestion 21 of 343.0 PointsGraph one shows a high number of observations that are very spread out butgenerally trending from the top left of the graph to the bottom right. Graph twohas very few observations but the few that exist are tightly packed around a trendline sloping from the top left to the bottom right. Which of the followingstatement(s) are true?A. Graph one should have a higher r-squared valueB. Graph two should have a higher r-squared valueC. Graph one has a negative slopeD. Graph two has a negative slopeE. B, C, and DReset SelectionQuestion 22 of 343.0 PointsGraph one shows a number of observations that are very spread out butgenerally trending from the bottom left of the graph to the top right. Graph twohas a number of observations that would be tightly packed around a trend linesloping from the top left to the bottom right. Which of the following statement(s)are true?A. Graph one should have a higher r-squared valueB. Graph two should have a higher r-squared valueC. Graph one has a negative slopeD. Graph two has a positive slopeE. B, C, and DReset SelectionQuestion 23 of 343.0 PointsGraph one shows a number of observations that all are directly on the trend linethat moves from the top left of the graph to the bottom right. Graph two has anumber of observations that would be tightly packed around, but not directly on,a trend line that runs straight across the graph. Which of the followingstatement(s) are true?A. Graph one should have a higher r-squared than graph twoB. Graph two should have a higher r-squared than graph oneC. Graph one will have a negative r-squared valueD. Graph two will have an r-squared value of 0.00E. C and DQuestion 24 of 343.0 PointsWhat is your r-square value given the following information: Sum of SquaresResidual (or Error): 1,800, Intercept Coefficient: 50.25, Sum of SquaresRegression: 300, Independent Variable Coefficient:.05.A..20 or belowB..21 to.40C..41 to.60D..61 to.80E..81 and aboveReset SelectionQuestion 25 of 343.0 PointsYou have 4 observed values of the dependent variable in your sample. The valuesare 3, 6, 9, and 12. Calculate the SST.A. The SST is between 0 and 50B. The SST is between 51 and 100C. The SST is between 101 and 200D. Above 200E. Not enough information is providedQuestion 26 of 343.0 PointsWhich of the following terms describes the overall long-term tendency of a timeseries?A. cyclical componentB. trendC. irregularD. seasonalE. B and CQuestion 27 of 343.0 PointsTime-series models should NOT be used to mechanically extrapolate trends intothe future without considering personal judgments, business experiences,changing technologies, etc.A. TrueB. FalseQuestion 28 of 343.0 PointsGiven a data set with 30 yearly observations, there are only 26 five-year movingaverages.A. TrueB. FalseQuestion 29 of 343.0 PointsThe method of moving averages is used:A. to smooth a seriesB. to plot a seriesC. to exponentiate a sereiesD. B and CE. in regression analysis.Question 30 of 343.0 PointsThe method of least squares is used on time-series data for:A. eliminating irregular movements.B. deseasonalizing the data.C. exponentially smoothing a series.D. A and CE. obtaining the trend equation.Question 31 of 343.0 PointsTo assess the adequacy of a forecasting model, one measure that is often usedis:A. quadratic trend analysis.B. exponential smoothing.C. moving averages.D. the Mean Absolute Deviations(MAD).E. None of the aboveQuestion 32 of 343.0 PointsWhich of the following is a guideline for selecting a model for forecast?A. Measure the magnitude of the residual error through standard error of the estimate or meanabsolute deviation.B. Perform a residual analysis.C. Use the principle of parsimony.D. All of the above.E. A and C only.Question 33 of 34Forecasting is done to monitor changes that occur over ___________.A. component factorsB. cyclical factorsC. irregular factorsD. timeE. none of the above3.0 PointsQuestion 34 of 34The cyclical component of a time series:A. represents periodic fluctuations which recur within one year.B. is obtained by adding up the seasonal indexes.C. A and BD. is obtained by adjusting for calendar variation.E. represents periodic fluctuations which usually occur in two to ten years.3.0 Points

 

Paper#61500 | Written in 18-Jul-2015

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