Answer Happy

Part B: Module III - Regression Concert National Concen Nation, INCwide profick concerts. The president of the company wants to develop a model estimate the recent event at gemach Ford Field, Mads Square Garden) for planning ating intepe The company has collected revenue data of 45 recent to concerts. For eacher, they are recorded the the number of code in the and the cutthewek och event. This duts available in "Put Dots Ses for A " They have to potential models that explain the event. The two coupling des Model A. Revenue # *#*Attendance + af Coestes + Band *** Mall Revenue - 3+ Attendance factoard Run repenice on both model te wily the presion putkel the watch and the gal data Samwer questions 14 20 below 14 12 på Let's comide the model A fost What does the softwa The value of 15.22. The models of poem D) The value of Patie cow. The all need the pic module cally significa 69 The puvalue of dit in ekme te mere. This indicates that let me independent variables in the i model significantly explain the (0) This indicates wask evidence of a linear relateelis, became the prende is very low. 15. 12 A for pict, what is the time wiance of 35.000 apliecinde og Politie Approximativ
17.12 pi Which of the following statement about Model A is cool (a) The estimated slope for the attendance is only $50.29. This means that, when keeping everything else the same, the revenue does not depend much on the attendance (b) The statistic associated with the store for the attendance variable is 642. This means that there is too much noise to determine if the scope is definitely positive (0) The p-value for the concession variable is 0.62. This means that the number of concession stands is not a statistically significant variable to determine the revenue (d) The star of intercepti 265. Therefore, there is sufficient evidence at the 1% significance level to support that intercept is significantly different than er 18.12 | Is it appropriate to use model Am a final model to estimate the revenue of a concerty (> Yes. All independent variables are statistically significant (6) Yes, because the malysis indicates a linear relatiombip between revenit and attendance (c) No hecause not all independent variables are statistically important. Thus, revision is necessary ( No become one of the slopes were negative. The revision is ecc. 19.12 pt Now, considered. According to modewhat is pointestinale fact that has tendance of 35,000 people, 5 consonant the song med in a the Billboard Point estimate 2012 Hased on the region outputs which model wood you considerable for patting the wheel-Mode Aan Model A Modd A Smet, che higher lower and are of the states C) and lower F-test Metal Babe, we both men and text pv, model www.low mandado de condul dependent variable istically wignifica la Model Ask me wie we the fractice of SST tad fine by the desidades higher thes food ( Mold new beste the shape officer is large and ignitude
HAZ B D E А 53686 14405 4 5 B P 99 9 77767 4 T ORCSE 15 7 7 8 29 82701 50165 50619 36259 52013 9747 B 9 10 11 12 18 14 15 10 17 18 19 20 5 7 5 7 7 10 5 92 97 41 8 31789 73159 51172 54187 5661 78466 65132 52866 9 7 2 5809972 2516510 4197208 6226065 4123018 3465110 2863474 1866310 2670798 5756817 361670 2022349 5064323 2901564 1170058 3116764 3825369 2983563 3091641 3068009 1490100 1561258 2253977 5278456 5751718 4526543 6811727 5972306 3986729 1121109 4515165 4 22 23 SESE 2 9 28-38 ONESOSBUS 3SONG%% 50055 16653 20491 9 25 26 27 20 C099 14 1 7 11 30 3 7 2 52 20 31 21 20 e 9 33 34 35 36 17 CONDOLE 02652 28532 76810 71104 23820 15493 70781 63105 57498 56310 58536 54187 56631 75466 65132 5179 11 11 5 7 72 3209538 3250222 4252077 9 BE 66 OF 6 SOLTE 7 41 2 43 7 5 2 6 3316764 3825309 2996565 3326095 2100564 3428010 562314 GER 57 46620 73412 6 45 46 47 48 09 50 52 59 34 35 50 37 30 65 00 Concert Data

15. 12 pt] If we use model A for prediction, what is the point estimate for the revenue of a concert that has attendance of 35,000 people, 5 concession stands, and the song ranked in no. 8 in the Billboard ranking? Point estimate: 16. [2 pt What is an approximate 95% prediction interval for the concert revenue listed in the previous question? Approximate 95% prediction interval: 17. 12 pt] Which of the following statement about Model A is correct? (a) The estimated slope for the attendance is only $50.29. This means that, when keeping everything else the same, the revenue does not depend much on the attendance. (b) The t-statistic associated with the slope for the attendance variable is 6.42. This means that there is too much noise to determine if the slope is definitely positive. (C) The p-value for the concession variable is 0.62. This means that the number of concession stands is not a statistically significant variable to determine the revenue. (d) The I-stat of intercept is 2.65. Therefore, there is sufficient evidence at the 1% significance level to support that intercept is significantly different than zero.
18. 12 pt| Is it appropriate to use model A as a final model to estimate the revenue of a concert? (a) Yes. All independent variables are statistically significant. (b) Yes, because the analysis indicates a linear relationship between revenue and attendance. (©) No, because not all independent variables are statistically important. Thus, revision is necessary (d) No, because some of the slopes were negative. Thus, revision is necessary. 7 19.12 ptNow, consider model B. According to model B, what is a point estimate for a concert that has attendance of 35,000 people, 5 concession stands, and the song ranked in no. 8 in the Billboard ranking? Point estimate:
20. 12 pt] Based on the regression outputs, which model would you consider more suitable for predicting the revenue between the two models- Model A and Model B? (a) Model A is more suitable, because it has a higher R2, lower standard error of the estimates (se), and lower F-test p-value. (b) Model B is more suitable, because, while both models have similar R2 and F-test p-value, model B has lower standard error of the estimates (Se) and all independent variables are statistically significant (c) Model A is more suitable because the fraction of SST accounted for by the residuals is higher than for model B. (d) Model B is more suitable, because the slope coefficient is larger in magnitude.
A B с D E F 1 8 4 5 6 4 4 7 7 8 9 7 24 99 39 35 86 29 93 86 35 8 10 11 12 13 5 7 5 7 7 10 71 97 72 5 41 3 8 17 9 7 7 1 86 86 8 4 8 18 2 9 93686 44405 77767 95780 82701 50165 50619 36259 52013 97447 69982 31789 73159 51172 54187 56681 78466 65132 52866 39536 56085 16653 20491 46602 62652 28532 76810 71104 23870 85493 70781 63105 57498 56380 58536 54187 56681 78466 65132 54879 26539 46620 73412 9 1 7 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 11 5805972 2516538 4197208 6226065 4123048 3465110 2843474 1866318 2670798 5756817 3681670 2072149 5064323 2901564 3170058 3316764 3825369 2983563 3091641 3068049 1490103 1561258 2253977 5278456 5754718 4826543 6813727 5972306 3986729 8121169 4515165 3704803 3209538 3250222 4257077 3170058 3316764 3825369 2996563 3326895 2100564 3428016 5623148 10 NWEB 65 69 24 45 14 68 52 21 49 17 46 31 72 43 40 17 6 w拓的叫阳阳豆的田心如日1%的印印时 11 11 5 7 6 9 7 7 7 5 2 6 9 86 86 63 57 39 14 45 46 47