Question: Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig 1 (Constant) 2.661 303 8.793 000 Warranty Years 532 057 503 9.358 000 a. Dependent

 Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig 1

Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig 1 (Constant) 2.661 303 8.793 000 Warranty Years 532 057 503 9.358 000 a. Dependent Variable: Number_of_people_mentioned 4. a. What is the R square value? (5 pts) b. What is your interpretation of this R square value? (5 pts.) C. Add the related SPSS table (5 pts.) 5. a. Is the regression significant? Why/why not? (5 pts.) b. What does the significanceon-significance of this regression mean? (5 pts.) C. Add the related SPSS table (5 pts.) 6. a. What do the coefficients BO and B1 refer to? (5 pts.) b. According to the output, what are the values of these coefficients? (5 pts.) c. Are the coefficients significant? (5 pts.) d. What does the significanceon-significance of the coefficients mean? (5 pts.) e. Add the related SPSS table (5 pts.) 7. What is the effect of the warranty time (years) on the number of people to whom customers tell about the retailer store? (5 pts.) According to the results of the regression analysis, what is the regression equation to predict different values of number of people to whom customers mention about the retailer store based on the warranty time (years)? (5 pts.) 9. Predict the total number of people to whom the retailer store is mentioned when the warranty time (years) is: a. 7 (5 pts.) b. 8 (5 pts.) c. 9 (5 pts.) (Show all your work!)

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