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Question 2 1 pts Questions 2 to 4 are based on the same information A regression...
The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains (Consumer Reports website, February 11, 2009). Assume the following data are representative of the results reported. The variable t
a) Overall customer satisfaction regression equation?b)At the .05 level of significance, test whether the estimated regression equation developed in part (a) indicates a significant relationship between overall customer satisfaction and average meal price.b) Develop a dummy variable that will account for the type of restaurant (Italian or seafood/steakhouse).c) Develop the estimated regression equation to show how overall customer satisfaction is related to the average meal price and the type of restaurant.d) Is type of restaurant a significant factor in overall...
A study of emergency service facilities investigated the relationship between the number of facilities and the...
A study of emergency service facilities investigated the relationship between the number of facilities and the average distance traveled to provide the emergency service. The following table gives the data collected. Number of Facilities Average Distance (miles) 9 1.65 11 1.12 16 0.82 21 0.62 27 0.51 30 0.47 (a)Develop an estimated regression equation for the data corresponding to a second-order model with one predictor variable. (Round your numerical values to four decimal places.) ŷ = ____ The Consumer Reports...
For the following question (#19 and #20), please use the following multiple regression output. The dependent...
For the following question (#19 and #20), please use the following multiple regression output. The dependent variable is Home Price: ($) the independent variables are Number of Bedrooms, Size (square footage), and Pool (0 = no pool, 1 = pool). 19: Which statement is correct? SUMMARY OUTPUT A: The R square of 571 is the best goodness of fit statistic to use for multiple regression analyses. B: The Number of Bedrooms is not a significant predictor variable. Regression Statistics Multiple...
Questions 6, 7, 10, 11 and 12. Question 6 1 pts Select the appropriate equation for...
Questions 6, 7, 10, 11 and 12.
Question 6 1 pts Select the appropriate equation for the line of prediction from the SPSS output. Coefficients Standardized Coefficients Beta Sig. Unstandardized Coefficients Model B Std. Error 1 (Constant) 3.977 1.193 Variable 1 414 096 Variable 2 -2019 2011 a. Dependent Variable: Outcome (Y) 458 -181 t 3.333 4.313 -1.704 .001 000 ,093 O Yhat = 3.977 +4.313X1 - 1703X2 Yhat - 3.977 +0.458X, -0.181X2 Yhat = 3.333+4.313X1 - 1703X, Yhat =...
QUESTION 12 Below is some of the regression output from a regression of the amount various...
QUESTION 12 Below is some of the regression output from a regression of the amount various customers paid for a new car (expressed in dollars) versus the age of the customer (expressed in years), the number of previous cars the customer had purchased from the dealership in the past, a dummy variable indicating the gender of the customer (=1 for a Man and = 0 for a woman), and an interactive term the multiplies the age of the customer with...
Question 15 1 pts In a simple regression analysis (where y is a dependent and x...
Question 15 1 pts In a simple regression analysis (where y is a dependent and x an independent variable), if the y intercept is zero, then O the slope must be negative. o the slope can be positive, or zero, or negative. O there is no relationship between x and y. o the slope must be positive.
Question 41 2 pts This question and the next question are based on the following same...
Question 41 2 pts This question and the next question are based on the following same information. If you were to develop a linear regression equation that uses autonomy at work to predict job satisfaction, what would be the slope (b) of the regression equation? Autonomy (X) Job satisfaction (Y) n 8 8 Mean Mx=4 My=7 Variability SSX = 28 SSy = 156 SP = 56 Pearson =.85 0.85 02 .5 0.36 Question 42 Question 33 2 pts Under what...
Questions 6 to 9 are based on the same information. Johnson Filtration, Inc. provides maintenance service for wa...
Questions 6 to 9 are based on the same information. Johnson Filtration, Inc. provides maintenance service for water-filtration systems throughout southern Florida. Customers contact Johnson with requests for maintenance service on their water-filtration systems. To estimate the service time and til service cost, Johnson's managers want to predict the repair time necessary for each maintenance request. Hence, repair time in hours is the dependent variable. Repair time is believed to be related to two factors, the number of months since...
For the following questions (17-18), use the following regression output. The dependent variable is Assessed Value...
For the following questions (17-18), use the following regression output. The dependent variable is Assessed Value (5) and the independent variable is Floor Space (square feet) SUMMARY OUTPUT Regression Statistics Multiple 0.0084 R Square 0.9377 Adjusted R Square 00350 Standard Emor 116 5093 Observations 32 ANOVA Significance F 1.23E-19 Regression Residual Total 1 30 31 SS MS F 8035351.603 6036862 451.6772 4008959721 13303.2 6438747.875 Coefficients 16267 0.3087 Intercept Floor space Standard Error 5428 0.010 Star Rvale 2.980 0.006686 21 253...
18 QueSLIVIT TO Based on the following regression output, what is the equation of the regression...
18
QueSLIVIT TO Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.99313 0.98630 R Square Adjusted R Square Standard Error 0.98238 2.94802 10 Observations ANOVA df SS MS Significance F Regression 4379.182 2189.591 251.943 0.0000 Residual 7 60.836 8.691 9 Total 4440.017 Coefficients Standard Error t Stat P-value Lower 95% 14.169 3.856 3.674 Intercept 0.008 5.050 X Variable 1 0.985 0.114 8.607 0.000 0.714 X Variable 0.995 0.057 17.498 0.000...
For the following question (#19 and #20), please use the following multiple regression output. The dependent variable is Home Price: ($) the independent variables are Number of Bedrooms, Size (square footage), and Pool (0 = no pool, 1 = pool). 19: Which statement is correct? SUMMARY OUTPUT A: The R square of 571 is the best goodness of fit statistic to use for multiple regression analyses. B: The Number of Bedrooms is not a significant predictor variable. Regression Statistics Multiple...
Questions 6, 7, 10, 11 and 12.
Question 6 1 pts Select the appropriate equation for the line of prediction from the SPSS output. Coefficients Standardized Coefficients Beta Sig. Unstandardized Coefficients Model B Std. Error 1 (Constant) 3.977 1.193 Variable 1 414 096 Variable 2 -2019 2011 a. Dependent Variable: Outcome (Y) 458 -181 t 3.333 4.313 -1.704 .001 000 ,093 O Yhat = 3.977 +4.313X1 - 1703X2 Yhat - 3.977 +0.458X, -0.181X2 Yhat = 3.333+4.313X1 - 1703X, Yhat =...
Question 15 1 pts In a simple regression analysis (where y is a dependent and x an independent variable), if the y intercept is zero, then O the slope must be negative. o the slope can be positive, or zero, or negative. O there is no relationship between x and y. o the slope must be positive.
Question 41 2 pts This question and the next question are based on the following same information. If you were to develop a linear regression equation that uses autonomy at work to predict job satisfaction, what would be the slope (b) of the regression equation? Autonomy (X) Job satisfaction (Y) n 8 8 Mean Mx=4 My=7 Variability SSX = 28 SSy = 156 SP = 56 Pearson =.85 0.85 02 .5 0.36 Question 42 Question 33 2 pts Under what...
Questions 6 to 9 are based on the same information. Johnson Filtration, Inc. provides maintenance service for water-filtration systems throughout southern Florida. Customers contact Johnson with requests for maintenance service on their water-filtration systems. To estimate the service time and til service cost, Johnson's managers want to predict the repair time necessary for each maintenance request. Hence, repair time in hours is the dependent variable. Repair time is believed to be related to two factors, the number of months since...
For the following questions (17-18), use the following regression output. The dependent variable is Assessed Value (5) and the independent variable is Floor Space (square feet) SUMMARY OUTPUT Regression Statistics Multiple 0.0084 R Square 0.9377 Adjusted R Square 00350 Standard Emor 116 5093 Observations 32 ANOVA Significance F 1.23E-19 Regression Residual Total 1 30 31 SS MS F 8035351.603 6036862 451.6772 4008959721 13303.2 6438747.875 Coefficients 16267 0.3087 Intercept Floor space Standard Error 5428 0.010 Star Rvale 2.980 0.006686 21 253...
18
QueSLIVIT TO Based on the following regression output, what is the equation of the regression line? Regression Statistics Multiple R 0.99313 0.98630 R Square Adjusted R Square Standard Error 0.98238 2.94802 10 Observations ANOVA df SS MS Significance F Regression 4379.182 2189.591 251.943 0.0000 Residual 7 60.836 8.691 9 Total 4440.017 Coefficients Standard Error t Stat P-value Lower 95% 14.169 3.856 3.674 Intercept 0.008 5.050 X Variable 1 0.985 0.114 8.607 0.000 0.714 X Variable 0.995 0.057 17.498 0.000...
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