Question

A regression model relating number of salespersons at a branch office, to y, annual sales at the office (in thousands of dollars) provided the following computer output from a regression analysis of the data. Where th =26. ANOVA SS MS F Significance F u Significance Regression Residual Total 8756.4 p-value 510 s.com Coefficients Standard Error Stat Intercept 7 7.0 10.723 Number of 5.609 Salespersons Write the estimated regression equation (to whole number). V= b. Compute the statistic and test the significance of the relationship at a 0.05 level of significance (to 2 decimals) P-value p.value is Select your answer we select your answer. I c. Compute the statistic and test the significance of the relationship at a 0.05 level of significance (to 2 decimals) Stat p-value is Select your answer. .we Select your answer. N: d. Predict the annual sales at the Memphis branch office. This branch employs 13 salespersons (to whole number)

Answer 1

output y from teable. 77 + six A NOVA ms F sig. F af ss 645 6.3 6456.3 67.39 Regression Residual n-2=24 823001 g5.8375 Total n.1= 25 8756.4 n=26 is simple given linear af of Regression regression is t. For Residual ss = Totalss - Regressionss ms= ss MS Regression N F124 ms residual p-value = P(Fan F) 24 - P(Frizu> 67.37)

Using Ti -83 Calculator, press and ... vars ... Fredf Fedt (67.37, 999, 1124) = 0.0000 a=0.os p-value is less than a we Reject Ho. c. t stat = Coefficient standard esor N tn-2 5 5,609 t start = 9.og Ho: B=0 Hißto Hi is two sided & df = n. 2 = 24 ". p-value = 2 P(t2u> Hol) = 2 p ( 724>9.09) Using Ti-& vars.. and.. tcdf (9.09, 999,24) we get plt247 9.09) = 0.0000 ipevalue = 2x6.000 = 0.0oo

p-value is less than a we Reject Ho B = 0. X = 13 Y = 77 +5lX = 77t S1x13 = 77+ 663 y = 740