Based on your final regression model, what would be the "Profit" of a store that operates with 65 employees in TAS and spends 8 ($000) in Advertising?

Page Lay Data fix D E F G H K M N 0 P 591 TAS 38.6445473 15.09414551 2.560234184 0.011483136 8.811579072 68.47751552 8.811579072 68.47751552 535 OLD -14.46017905 14.98122412 -0.965220127 0.336041618 -44.06996273 15.14960462 -44.0699627 15.14960462 529 363 463 SUMMARY OUTPUT 408 460 Regression Statistics 212 Multiple R 0.807972303 142 R Square 0.652819242 286 Adjusted R Square 0.645685391 222 Standard Error 69.13440425 381 Observations 150 470 300 ANOVA 430 df SS MS Significance F 551 Regression 3 1312135.259 437378.4197 91.51007294 2.26907E-33 270 Residual 146 697816.6143 4779.565851 343 Tota 149 2009951.873 460 412 Coefficients Standard Error Stat -value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 317 Intercept 17.55351059 21.77338578 0.806191135 0.42144385 -25.47822579 60.58524696 -25.4782258 60.58524696 490 No_Staff 20.27754693 2.176048855 9.318516397 1.70476E-16 15.97692224 24.57817163 15.97692224 24.57817163 360 Adv_Budget (1000$) 1.065190191 0.374203564 2.846552767 0.005056385 0.325634603 1.80474578 0.325634603 1.80474578 351 TAS 41.68264705 14.75886165 2.824245395 0.005402071 12.51403496 70.85125914 12.51403496 70.85125914 384 432 415 PROFIT= 17.56+(20.28*20.28+1.07*1.07+41.68*41.68) 327 357 know how to interpret; 90 333 311 12 315 b1 359 b2 433 b3 388 significane F In ANOVA if the model has an overall significance, significance f will have a value lower than 0.05. 246 p value if the p value is less than 0.05, the independent variable has individual significance in the model. 432 254 279 208 359 438