Chapter 14 Regression Statisfics MUltiple R R Square Adjusted R Sc Standard Erro 433.384366 0.97543454 Observations 12 ANOVA Cif SS Regression Residual 1 10 1921808.519 3960250D Total 11 Coefficients...

Part G-I, explain TI84 USE IF APPLICABLE

Extracted text: Chapter 14 Regression Statisfics MUltiple R R Square Adjusted R Sc Standard Erro 433.384366 0.97543454 Observations 12 ANOVA Cif SS Regression Residual 1 10 1921808.519 3960250D Total 11 Coefficients Standard Eror t Stat ntereept X Variable 1 13720.2593 8.682952714 1580.13751 19.0812465 1.362706623 13. Use the table above to answer the following questions: a) Write the equation of the regression line based on the output above. y= 1377oi793 19,0g12 X Assuming that the x variable represents the number of service calls made, what is the total cost expected if b) 1,1,40 service calls are made? 351472.83 13720.2S93+ 19,08120,M) 003 What is the relationship between SSE, SSR and SST? SST c) 33ES32 d) What is the value of the SSR? e) Calculate the r2 from the data above. f) What interval must r2 fall? g) Calculate the F statistic. h) What is the value of 1STAT for the slope (b1)? i) What is the value of the y-intercept? j) Using an alpha of 0.05, what is the confidence interval estimate for the independent variable? LCL= UCL = o the $7.96 y sele Calcu Wh c. W d. C