Please help me solve all the problems, I will adopt your answers at the first time

(DaTa: Burger King iTems)The Whopper has been Burger King's signaTure sandwich since 1957. One Triple Whopper wiTh cheese provides 71 grams of proTeinall The proTein you need in a day. IT also supplies 1230 calories and 82 grams of faT. The Daily Value based on a ZOOO-calorie dieT for faT is 65 grams. How are faT and proTein relaTed on The enTire BK menu? Look aT The scaTTerploT and describe whaT you see. B_ C - o 51]- I . T i I E o - I ' I . . a 40 ' a\" U. I :0 (To: :'. III- ." 9.. I _ g o \"o in"; : 20 #. : '. . inf. I ' o o o i|lI 15 3D 45 60 Pmteinig] We wanT To find The line ThaT somehow comes closer To all The poinTs Than any oTher line. SkeTch one line Through The poinTs on The scaTTerploT above. Some of The poinTs will be above The line and some below. QUESTION YOUR ANSWER 1a. (From high school or earlier) WhaT is The equaTion of a line ThaT has y-inTercepT b and slope m? 1b. If you are given The equaTion y =1 3X. InTer-reT The value of The sloe -3. 2. WhaT is y? 3. WhaT is a residual? (write it with words and with symbols 4. WhaT is The line of besT fiT (also called leasT squares line)? From The Burger King menu iTems, The line of besT fiT is Fa'l' = 8.4 + 0.91 x ProTein . WriTe an inTerpreTaTion of each slo-e and -inTerce-T values. 131 = 0.91 (slope of The line) b0 2 8.4 (yinTercepT of The line) Using The model FaT : 8.4 + 0.91 x ProTein predicT The faT conTenT of The chicken sandwich wiTh 31 grams of proTein. In SecTion 7.3 (sTarTs on page 203) you are given The formulas for The esTimaTion of The leasT squares line. (In A essence we wanT To fiT The model Y = 180 + IX ). IT is esTimaTed by Y 2 b0 + le . WriTe down The formulas below (make sure ou wriTe down which sTaTisTics are involved) b1 (slope of The line) b0 (y-inTercepT of The line) 7.5 Examining The residuals Which ploT do we draw To check wheTher a regression model is appropriaTe? (see page 212) WriTe The formula for The sTandard deviaTion of The residuals 52 . Example: DVD: A company ThaT holds The DVD disTribuTion righTs To movies previously released only in TheaTres has The business objecTive of developing esTimaTes of The sales revenue of DVDs. Toward This goal, a company analysT plans To use box office gross To predicT DVD sales revenue. For 38 movies, The analysT collecTs The box office gross (in $ millions) in The year ThaT They were released and The DVD revenue (in $millions) in The following year; see daTa Movie. a. ConsTrucT a scaTTer ploT. Describe The relaTionship beTween These Two variables. WhaT is The correlaTion coefficienT? b. Assuming a linear relaTionship, use The leasT-squares meThod To deTermine The regression coefficienTs be and b1. b0: b1 = _____________________ c. InTerpreT The meaning of The slope, b1, in This problem. d. PredicT The mean sales revenue for a movie DVD ThaT had a box office gross of $110million. $95mil|ion