16. The data referred to in this question were collected on 41 employees of a large...

 

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16. The data referred to in this question were collected on 41 employees of a large company. The company is trying to predict the current salary of its employees from their starting salary (both expressed in thousands of dollars). The SPSS regression output is given below as well as some summary measures: Starting Salary Current Salary Model 1 Model 1 Model R 913195 Descriptive Statistics Minimum Maximum 10.95 44.10 19.65 100.00 Regression Residual Total Model Summary Adjusted R Square R Square 833926 829667 (Constant) Starting Salary ANOVA Mean Variance 17.9818 57.472 36.2543 305 297 B -1.59266 2.10473 Sum of Squares df Mean Square 10183.816 1 10183.816 52.002 2028.084 39 12211.900 40 Std. Error of the Estimate 7.2113 Unstandardized Coefficients Coefficients Std. Error 2.92961 15040 F 195.835 Standardized Coefficients Beta 913 Sig. -544 13.994 000 Sig 590 000 Model 1 (Constant) Starting Salary A) ($15,683; $45,537) B) ($18,204; $43,015) C) ($28,580; $32,640) D) ($31,516; $32,885) Coefficients Unstandardized Coefficients В -1.59266 2.10473 Std. Error 2.92961 15040 Standardized Coefficients Beta -544 913 13.994 Sig 590 .000 John Doe works for this company. He started with a salary of $15,300. Predict his current salary with a 90% confidence interval. Express the interval in the appropriate units. 16. The data referred to in this question were collected on 41 employees of a large company. The company is trying to predict the current salary of its employees from their starting salary (both expressed in thousands of dollars). The SPSS regression output is given below as well as some summary measures: Starting Salary Current Salary Model 1 Model 1 Model R 913195 Descriptive Statistics Minimum Maximum 10.95 44.10 19.65 100.00 Regression Residual Total Model Summary Adjusted R Square R Square 833926 829667 (Constant) Starting Salary ANOVA Mean Variance 17.9818 57.472 36.2543 305 297 B -1.59266 2.10473 Sum of Squares df Mean Square 10183.816 1 10183.816 52.002 2028.084 39 12211.900 40 Std. Error of the Estimate 7.2113 Unstandardized Coefficients Coefficients Std. Error 2.92961 15040 F 195.835 Standardized Coefficients Beta 913 Sig. -544 13.994 000 Sig 590 000 Model 1 (Constant) Starting Salary A) ($15,683; $45,537) B) ($18,204; $43,015) C) ($28,580; $32,640) D) ($31,516; $32,885) Coefficients Unstandardized Coefficients В -1.59266 2.10473 Std. Error 2.92961 15040 Standardized Coefficients Beta -544 913 13.994 Sig 590 .000 John Doe works for this company. He started with a salary of $15,300. Predict his current salary with a 90% confidence interval. Express the interval in the appropriate units.