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Study Resources (Statistics)

  90) Which one of the following statements describes the results of the hypothesis test for the overall regression model using α = 0.05? A) Because the test statistic is greater than the critical value, we reject the null hypothesis and conclude that there is a relationship between the dependent variable and.
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  133) Use the Marseille Water Taxi data to: A) Calculate the standard error of the slope. B) Test the significance of the regression slope using α = 0.05. A)   134) Use the Marseille Water Taxi data to determine the 95% confidence interval for the slope and interpret the results.   Use the information below to answer.
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  37) A ________ predicts the change in a dependent variable due to a one-unit increase in an independent variable while holding other variables constant. A) residual B) regression coefficient C) correlation coefficient D) coefficient of determination   38) The variable represents the ________ in the regression model. A) residual B) value of the independent variable C) value of.
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  66) The table below shows the number of cars sold last month by six employees at Concord Motors and their number of years of sales experience.   Experience Sales 1 7 2 9 2 9 4 8 5 14 8 14   Management would like to use simple regression analysis to estimate monthly car sales using the number of years of sales experience. The 95% prediction interval.
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  136) Show the calculations for the 95% confidence intervals to estimate the population regression coefficients for the Comcast cable model and interpret their meaning.     Use the following information to answer the question(s) below.   Delmarva Power is a utility company that would like to predict the monthly heating bill for a household in.
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  21) The correlation coefficient measures the percentage of the total variation of the dependent variable that is explained by the independent variable from a sample.   22) A coefficient of determination equal to zero indicates that there is no relationship between the independent and dependent variables.   23) The hypothesis test for the population.
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  61) The following distribution shows the frequency distribution of the number of shots a particular NBA player blocked in one game for a random sample of 100 games.   Blocked Shots per Game Frequency 0 4 1 20 2 31 3 21 4 15 5 or more 9   You have been assigned the task to test if the distribution of blocked shots per game for this.
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  46) The ________ measures the variation in the dependent variable that is explained by variables other than the independent variable in simple regression analysis. A) sum of squares within B) sum of squares error C) sum of squares regression D) total sum of squares   47) The ________ measures the variation in the dependent variable that.
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  100) Which group of independent variables is significant in this model using α = 0.05? A) Exp, Salary, ED1, ED2 B) Salary, ED1, ED2 C) Exp, ED1, ED2 D) Exp, Salary, ED1 101) The 95% confidence interval for the regression coefficient for the Exp variable is ________. A) (-0.461, 0.939) B) (-0.022, 0.501) C) (0.039, 0.439) D) (0.139, 0.339)   102).
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  41) The Department of Transportation would like to investigate if a difference exists in the proportion of flights that arrive on-time between Alaska Airlines, Delta Airlines, Southwest Airlines, and United Airlines. The following data represent the number of on-time flights from random samples taken from each airline.     Alaska Delta Southwest United Number On-time 90 95 85 60 Sample Size 100 120 100 80   The chi-square.
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  21) We suspect the presence of multicollinearity in the model when regression coefficients have the opposite sign from what we would normally expect.   22) If the purpose of the regression model is to provide a prediction for the dependent variable, the presence of multicollinearity provides unreliable results.   23) In general stepwise regression,.
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  31) If the confidence interval for the regression slope includes zero, we would have some evidence that β could be equal to zero, which would indicate that there may not be a relationship between the dependent and independent variables. 32) An assumption of regression analysis is that the relationship between the.
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  91) Edmunds.com would like to test the hypothesis that the standard deviation for the age of an imported car on the road is greater than the standard deviation for the age of a domestic car. The following data shows the ages of a random sample of import and domestic cars.   Import 1 3 4 5 4 5 10 Domestic 4 5 4 6 5 4 6   The.
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  51) Suppose Apple would like to test the hypothesis that the standard deviation for the web browsing battery life of the iPad equals 3.0 hours. The following data represents the battery life, in hours, experienced by a random sample of six users.   10 14 12 16 10 6   The test statistic for this hypothesis test would be.
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  81) A retail chain would like to test if a difference exists between the variability of customer satisfaction scores from two locations. The following data represents satisfaction scores from a random sample of customers from these locations on a scale of 1-20.   Location 1 12 14 20 18 15 17 16 Location 2 18 19 17 18 16 20     The correct hypothesis statement would be   82) A.
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  114) The National Basketball Association (NBA) would like to develop a multiple regression model that would predict the number of wins for a team during the season. The following table shows the variance inflation factors for the independent variables points per game (PPG), field goal percentage (FG%), three-point percentage (3PT%),.
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  124) Use the NFL team data to: A)Calculate the standard error of the slope. B)Test the significance of the regression slope using α = 0.05.   125) Use the NFL team data to determine the 95% confidence interval for the slope and interpret the results.   Use the information below to answer the following question(s).   The Marseille.
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  36) The ________ indicates both the strength and direction of the linear relationship between the independent and dependent variables. A) regression intercept B) regression slope C) coefficient of determination D) correlation coefficient 37) A correlation analysis requires that the data be either ________ data or _______ data. A) nominal, ratio B) interval, ratio C) ordinal, interval D) nominal, interval   38).
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  86) Costco sells paperback books in their retail stores and wanted to examine the relationship between price and demand. The price of a particular novel was adjusted each week and the weekly sales were recorded in the table below.   Sales Price 7 $12 4 $11 5 $10 9 $9 8 $8 8 $7 7 $7   Management would like to use simple regression analysis to estimate weekly demand.
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  120) Use the NFL team data to calculate the total sum of squares, sum of squares error, and sum of squares regression.   121) Use the NFL team data to: A)Calculate the coefficient of determination. B)Interpret the meaning of the coefficient of determination. C)Test the significance of the coefficient of determination using α = 0.05. SSR.
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  141) Construct a 95% prediction interval to estimate the monthly heating bill for a specific house that has 2,600 square feet and has a heat pump that is nine years old.     142) Show the calculations for the multiple coefficient of determination for the heating bill model and interpret its meaning.     house (SF),.
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  11) Adding additional independent variables to the regression equation will always decrease the coefficient of determination.   12) If adding an independent variable results in a reduction in the adjusted R2, we have evidence that the new variable might not be contributing enough explanation of the dependent variable to remain in the.
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  138) Interpret the meaning of the regression coefficients for the heating bill model.   Each additional square foot of the house increases the monthly heating bill by an average of $0.0583. Each additional year in the age of the heating system increases the monthly heating bill by an average of $2.4158. Houses that have.
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  131) Use the Marseille Water Taxi data to calculate: A) The standard error of the estimate. B) The 95% confidence interval for the average number of passengers on a day when the ambient temperature is 23 degrees Celsius.   132) Use the Marseille Water Taxi data to calculate the 95% prediction interval for the.
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  128) Use the Marseille Water Taxi data to: A) Describe the regression line that will predict the number of passengers on the noontime ferry based on the ambient temperature. B)Interpret the slope of the regression equation. C)Predict number of passengers on the noontime ferry on a day that the ambient temperature is 19.
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  76) Costco sells paperback books in their retail stores and wanted to examine the relationship between price and demand. The price of a particular novel was adjusted each week and the weekly sales were recorded in the table below.   Sales Price 7 $12 4 $11 5 $10 9 $9 8 $8 8 $7 7 $7   Management would like to use simple regression analysis to estimate weekly demand.
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  123) The National Basketball Association (NBA) would like to develop a multiple regression model that would predict the number of wins for a team during the season. The following independent variables were considered for the model: field goal percentage (X1), free throw percentage (X2), turnovers per game (X3), rebounds per.
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  31) Using best subsets regression will always result in a model in which all of the independent variables are statistically significant.   32) Using forward selection regression will always result in a model in which all of the independent variables are statistically significant.   33) Using backward elimination regression may result in a model.
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  61) Sony would like to test the hypothesis that the standard deviation for the age of PlayStation users is higher than the standard deviation for the age of Xbox users. The following table summarizes sample statistics from each population.     PlayStation Xbox Sample standard deviation 4.3 years 3.9 years Sample size 25 28   Using α = 0.05, the conclusion for.
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  56) The table below shows the number of cars sold last month by six employees at Concord Motors and their number of years of sales experience.   Experience Sales 1 7 2 9 2 9 4 8 5 14 8 14   Management would like to use simple regression analysis to estimate monthly car sales using the number of years of sales experience. The y-intercept for the.
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  51) The airline industry defines no-shows as passengers who have purchased a ticket but fail to arrive at the gate on time for departure. United Airlines operates many flights from Philadelphia to Dallas and experienced the following no-show probability distribution last year.   No-shows 0 1 2 3 4 5 Probability 5% 15% 20% 30% 20% 10%   The following data represent the number of no-shows that.
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      1) There is no statistical technique for directly testing a hypothesis about a population standard deviation.   2) The test statistic that is used to test the variance of a single population follows the normal probability distribution.   3) The hypothesis test for a single population variance requires that the sample size is greater.
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  101) The following table shows the wait time on the phone, in minutes, of six individuals who require assistance from a customer service representative.   10 4 5 3 12 8   Test the hypothesis that the standard deviation of wait time for all customers waiting for a representative for this company is less than 4.0 minutes using α.
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      1) In a multiple regression model, a dependent variable explains the variation in the independent variables.   2) Excel requires that the independent variables be located in adjacent columns in the spreadsheet.   3) Using the multiple regression equation to predict the dependent variable using values of independent variables outside of the range of.
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      1) A dependent variable, x, explains the variation in another variable, which is called the independent variable, y.   2) Consider the relationship between the following variables: ?Household income ?Square footage of the primary residence   Household income would be considered the independent variable.   3) Consider the relationship between the following variables: ?Monthly electricity bill for a household during.
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