Question: o D E A B F G H o R P N CO The UnwestyTortois review schot its faculty members D. 000 w 90 8

o D E A B F G H o R P N CO The UnwestyTortois
o D E A B F G H o R P N CO The UnwestyTortois
o D E A B F G H o R P N CO The UnwestyTortois review schot its faculty members D. 000 w 90 8 US 0 SIP PI L M DATA Test Soome a Vies 05 42 518 S84 82 GT 17 040 ON S7 58 40 54 0.40 58 23 02 60 3 63 6 54 4 645 01 471 22 50 10 04 02 57 3 51 51 82 30 2 20 136 42 20 44 30 701 4 IC VID CH 209 cer 29 19 OF 09 IT 100 9 22 12 104 81 02 601 024 20 4 SS TANE 23 GE NEO 40 Steven Menu els.com ser portion 41 34 he 2 des 9 Number 10 10:33 11 12 The computer Syntes 13 14 15 SUMMLY OUTPUT 16 17 18 MER 00477203000 19 H OP 20 M70104040 21 h 74011124 22 23 24 ANOVA 15 26 Soro SO40012 OTTOM 38001 1024 28 A LAN 29 30 Two 31 32 MB 33 34 35 Whichte entre 36 37 Which is the 38 39 Wote u 40 41 Who? 42 43 Ung the borded what is the notion 44 45 plante tecto the content 46 42 48 OS 02 015 4 2 M 2 M LORECORRIDOS WRITORIO FISICRECORRUTROSPORT.RO 2 OS 114 501 100 53 29 52 115 4 20 2011 GA 60 . 12 DF 119 06 606 B01 CE 30 7211 22 22 11 34 10 SO D 1 Question 3 E F G H 2 3 The University of Toronto is reviewing data on each of its faculty members 4 5 The vanables are: 6 Test score when he/she first applied for higher position Minimum Maximum 7 AE Presentage 84 8 Evaluation by students 23 50 9 Number of articles he/she has written 521 975 10 o Salary 42 11 413 1033 12. The following computer output considers Salary and Age and Articles 13 14 15 SUMMARY OUTPUT 16 17 Regression Statistics 18 Multiple R 0.8492707400 19 R Square 0 7212607913 20 Adjusted R Square 0706193807 21 Standard Error 7.3451147199 22 Observations 40 23 24 ANOVA 25 dr S MS Sigricance 26 Regression 5165 271076012582635735447 870282402 544708516-11 27 Residual 37 1996 17627919 53 950710248 28 Total 39 7161 44775 29 30 Coeficients Standard error Star P.value Lower 39 Upper 058 Lower 50% Upper 95.0% 31 intercept 596461305496 37978363784 03492403403 27705466-11 46.71946102647257280007246 715461026 72572800072 32 Age -0.182056193 0.14475964428 -1 257644656 0216400260 -0.47536700328 0.1112547071 - 47536700) 0 1112547071 33 Articles 1093718861 011321609437 9660452136011664517.11 0.8642210639113231162501086432106391231162581 34 35 Which variable() is the independent variable? 36 37 Which variable is the dependent variable? 38 39 What does the multiple R tells us? 40 41 What does RSquare tell us? 42 43 Using the numbers provided what is the regression equation 44 45 Use to what to explain the effect of the coefficient K M N O DATA Test Score Agen Sabry Evason Arts 7364115 510 5923216220 67 12 BAO 50 GOD 634 G 59643 3.78 58840 5421 31 58.733 61.5 622 12 68.5 37 6321 8.38 TO 544 40 632 6.45 61 47 492 DIK 50 75.7 816 31 8375985 62540 83.9 020 240 57 539 51.050 633 25 a 44.00 B 6.53 21 657 45 103 8.40 42 666 45 83.7 9748 22 5450 595 701 4 5075 38 65 680 11 44.0 38 52 620 7 728 30 702 601 20 65343 581 024 5 6400 750 7.90 22 60140 400 560 2545 850 6.98 28 5723 884 735 22 52831 584 581 7133 30 7.18 16 5523 722 738 18 6230500 58 24557.0 61 2 71 255 740 4 6970 30 51.0 583 1 70% 34 685 al 68 36 603 663 G 717 50 55 5 6840 5.48 14 450 an 502 65 15 6140 B01 7321 56 sa 711 7.77 10 1 02 GIA 930 English (Canada) + Sheet 4 of 5 04 Questionnaire PageStyle 938 o i TO C H Type here to search

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