Question

% 12.2.8-T Question Help The value of a sports franchise is directly related to the amount of revenue that a franchise can generate. The accompanying data table gives the value and the annual revenue for 15 major sport teams. Suppose you want to develop a simple linear regression model to predict franchise value based on annual revenue generated. Complete parts (a) through (e) below. Click the icon to view the table of franchise values and annual revenues. A TIC T-CTCP, vo, pcs wrc C urmaTTC CITUC I ZETU, TURCITESC VUI O, ons ons. The prope, 1. P a Franchise Value and Annual Revenue eXB. The Y-intercept, bo, implies that if the annual revenue is zero, the franchise value is equal to the value of bo, in millions of dol b. in millions of dollars. - X *C. An interpretation of the Y-intercept, bo, is not meaningful because no sports franchise is going to have a revenue of zero. The revenue, the franchise value is expected to increase by 67, in millions of dollars. Annual Revenue (millions of dollars) 181 OD. The Y-intercept, bo, implies that if the annual revenue is zero, the franchise value is equal bo, in millions of dollars. The slope the franchise value is expected to decrease by by, in millions of dollars. 237 Franchise Value (millions of dollars) 331 770 791 597 462 274 d. Predict the mean franchise value (in millions of dollars) of a sports team that generates $200 million of annual revenue. 239 Y;= $ million (Round to the nearest integer as needed.) 875 268 167 160 Enter your answer in the answer box and then click Check Answer. 304 351 319 207 1 part I remaining Clear All 527 201 486

Answer 1

Polution: the Kalie y lly: Gols forxhine Kos clive alla caclaled. Rostlived infoveration is gillen hy 001 | 5991 80036 167 Ty x y xy 1B1 30-161 1109561 234 to 56169 59 0900 180 LIQD 2.19 191 -45076 625681 1016 104 2239 591 57601 356.2109 142683 16 31684 213.4144 D66 875 41824 465605 034500 304 2+889 aQ(116 50368 351 123001 56160 79 349 82001 1101761 54101 | B4 9 OH+29 109089 40401 [236 Lab 197686 333 246LL90889 52081 258 770 66564 595984 199146 fit 514089 229 0308 28900 94864 I to 159060 IX=(3105128=7943 12X=665969 24.4810149 EXY = 1757368 160 25600 Qot DOI 501- 486 157 52441 164 193 -> we have to oblained regressions Excalion line iG Y = botbex - 0 cohere bir Ο ΣΚΥ - ΣΥ ΣΥ. n Ex2 – Ex)?

bi (i5 4.145 0968- fins x 1903) (1576650169) - 1910) 160050060015 1989505 - 26410825 1691505 048510 - (8101 and bo ΣΥ- ay- bist Βι n faud - (0.84407 * 3105) 15 #9413 - 15103.6+ - TO 15188.64 ] 15 - +180.6+ 15 bo= -(178.711 From Er i czeget y=-4178. 411 + (1 870+ x- ® ye-(17811 + 48 70 x predict the mean franchise Value: we have to obtained the mean franchise value is Chere, from & we get

Ye-478.911 +61. 8.707 * x] PCH XE000 = -478.+ [(1 870 + x 200) =-478.7117 9741.14 ♡ - 4195.cima Therefore predicted Kalce is (195.4295 (4195)