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Jackie Meyer

Jackie M.

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Daniel Ivanovich verified

Numerade educator

US Energy Consumption (in trillion BTUs) vs. GDP (in $trillions) and Average Car Gas Mileage (in mpg) Regression Statistics Multiple R 0.9709 R² 0.9426 Adjusted R² 0.9359 F test Results Standard Error 1,943 F value Signif. F Observations 20 139.64 0.0000 Coefficients Std Error t Stat P-value Intercept 63,672 9,749 6.53 0.0000 GDP ($trillions) 3,853 696 5.53 0.0000 Avg. car gas mileage (mpg) -70.50 697 -0.10 0.9206

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Nicole Smina verified

Numerade educator

Expected Costs Lawsuit $4,000,000 20% WH Implicated 10% No Lawsuit $0 80% Don't Recall WH Not Implicated $0 90% Recall $120,000

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ANSWERED

Daniel Ivanovich verified

Numerade educator

US Energy Consumption (in trillion BTUs) vs. GDP (in $trillions) and Average Car Gas Mileage (in mpg) Regression Statistics Multiple R 0.9709 R2 0.9426 Adjusted R2 0.9359 F test Results Standard Error 1,943 F value Signif. F Observations 20 139.64 0.0000 Coefficients Std Error t Stat P-value Intercept 63,672 9,749 6.53 0.0000 GDP ($trillions) 3,853 696 5.53 0.0000 Avg. car gas mileage (mpg) -70.50 697 -0.10 0.9206

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Nicole Smina verified

Numerade educator

Expected Costs EMV: $ 800,000 Lawsuit 20% $4,000,000 WH Implicated 10% EMV: $ 80,000 Don't Recall No Lawsuit 80% $0 WH Not Implicated 90% $0 Recall $120,000

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Paul A. verified

Numerade educator

In a regression analysis with multiple independent variables, what causes multicollinearity? A strong linear relationship between two or more independent variables A strong nonlinear relationship between the dependent variable and one or more independent variables A strong heteroskedastic relationship between the dependent variable and one or more independent variables None of the above

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Oscar Bender-Stone verified

Numerade educator

A research firm told FlatCola Cybersystems that its favorability rating among customers had increased from last year’s rating of 9.1 (out of a possible 10). The fine print says that this conclusion is “statistically significant at the 0.05 level.” Which of the following is a correct interpretation of this statement? I. There is a 5% chance that the true rating is greater than 9.1. II. 5% of customers do not have a favorable opinion of FlatCola. III. There is a 5% chance that this conclusion is incorrect.

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William Semus verified

Numerade educator

A regression analysis of 35 homes represented by Ravenweyr Realty yielded the following prediction equation. Price = –32,526 – 617 * Time_To_Subway + 214 * Size where Price is the selling price in US dollars, Time_To_Subway is measured in minutes, and Size is interior floor space in square feet. Which statement is the best interpretation of the coefficient “–617”? On average, the selling price decreases by $617 for each minute of distance to the subway, when controlling for house size. On average, the selling price decreases by $617 for each minute of distance to the subway, when not controlling for house size. On average, the selling price increases by $617 for each minute of distance to the subway, when controlling for house size. On average, the selling price increases by $617 for each minute of distance to the subway, when not controlling for house size.

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Jeff Vermeire verified

Numerade educator

Which equation represents a power function that is decreasing and has a graph that passes through the point (2, 1) ? y = 1/2 x^-1 y = 2x^-1 y = 1/4 x^2 y = 4 * 2^-x

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The management intern at Acme Multiplex Cinema wants to predict the ticket sales of movies from their score at the rating site Razzberry.bizz. A sample of the weekend ticket sales for four films, with their Razzberry ratings, is shown below. \begin{tabular}{|c|r|r|} \hline & \multicolumn{1}{|c|}{ A } & \multicolumn{1}{c}{ B } \\ \hline 1 & Tickets Sold & Razzberries \\ \hline 2 & 620 & 94 \\ \hline 3 & 620 & 94 \\ \hline 4 & 24 & 62 \\ \hline 5 & 20 & 62 \\ \hline 6 & 512 & 85 \\ \hline 7 & 520 & 85 \\ \hline 8 & 150 & 77 \\ \hline 9 & 143 & 77 \\ \hline \end{tabular} Which of the following regressions is correct using Razzberries as the independent variable and Tickets Sold as the dependent variable? Tickets Sold \( =65+0.04^{*} \) Razzberries Razzberries \( =65+0.04^{*} \) Tickets Sold Tickets Sold \( =-1266+20.03^{*} \) Razzberries Razzberries \( =-1266+20.03^{*} \) Tickets Sold

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A regression analysis of 35 homes represented by Ravenweyr Realty yielded the following prediction equation. Price = –32,526 – 617 * Time_To_Subway + 214 * Size where Price is the selling price in US dollars, Time_To_Subway is measured in minutes, and Size is interior floor space in square feet. Which statement is the best interpretation of the coefficient “–617”? On average, the selling price decreases by $617 for each minute of distance to the subway, when controlling for house size. On average, the selling price decreases by $617 for each minute of distance to the subway, when not controlling for house size. On average, the selling price increases by $617 for each minute of distance to the subway, when controlling for house size. On average, the selling price increases by $617 for each minute of distance to the subway, when not controlling for house size.

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