Question: Please help Sorry about that, hope this is better. couldnt fit it all in one picture ASSIGNMENT 3: CONJOINT ANALYSIS FOR CEREALS You are a

Please help Please help Sorry about that, hope this is

Sorry about that, hope this is better. couldnt fit it all in one picture

ASSIGNMENT 3: CONJOINT ANALYSIS FOR CEREALS You are a mid-level manager for a major cereal manufacturer. Top management has tasked you with designing a new brand of cereal. Not only do you have to come up with an optimal cereal product, but you also have to prove to your bosses why the product is a good design. Your past experience has told you to that four attributes drive cereal sales: the flavor of the cereal, the shape of the cereal, price and add-ins. From your experience, you further sub-divide these attributes into sublevels. There are three levels of the flavor: corn, chocolate and fruit. There are four basic shapes: puffs, hoops, crispies and flakes. There are three price points: $2.99, $3.99, and $4.99. And there are three types of add-ins: none. marshmallows and dried fruit. These attributes and levels of the attributes are represented in the table below: TABLE 1. Factorial Design FLAVORS SHAPES PRICES ADD-INS Coen $2.99 None Chocolate Hoops $3.99 Marshmallows Fruit Crispies $4.99 Dried Fruits Flakes To assess the optimal product design, you decide to do a conjoint analysis. But before you do a conjoint, you have to do some prep work. PART 1. Conjoint Analysis: Prep Work. QUESTION 1 (3 POINTS) How many possible combinations of cereal are represented in your factorial design? Show your work QUESTION 2 (3 POINTS) Based on the number of attributes and levels in Table I, what is the minimum number of parameters (e.g. cards) each respondent in your conjoint analysis should evaluate Show your work. PART 2. Conjoint Analysis: the Regression You performed a conjoint analysis for cereals, and your results are organized in the spreadsheet named "Conjoint Analysis Data (Cereals)." The data represents 225 observations from 15 individuals. To access this file go to Blackboard Mktg 370>Assignments>Assignment 4. Run a regression on the data (see Lecture 11 Slides for proper procedures). PART 2. Conjoint Analysis: the Regression You performed a conjoint analysis for cereals, and your results are organized in the spreadsheet named "Conjoint Analysis Data (Cereals)." The data represents 225 observations from 15 individuals. To access this file go to Blackboard>Mktg 370>Assignments>Assignment 4. Run a regression on the data (see Lecture 11 Slides for proper procedures). QUESTION 3 (5 POINTS) Using the spreadsheet, analyze the preference ratings from User 2. What can you say about User 2's taste in cereals based on User 2's preference ratings? QUESTION 4(5 POINTS) Using the output from the regression analysis, what are the partworths for each level of the attributes? Enter the partworth values in the table below. **PLEASE ATTACH REGRESSION OUTPUT FROM EXCEL FOR FULL CREDIT** FLAVORS SHAPES PRICES ADD-INS Com Puffs: $2.99 None Chocolate: Hoops $3.99 Marshmallows Fruit: Crispies $4.99 Dried Fruits Flakes QUESTION 5 (2 POINTS) Using the intercept and partworths from the output, write out the linear equation of the regression. QUESTION 6 (5 POINTS) Based on your analysis, what is the optimal product design (optimal combination of attribute levels)? What cereal brand in the real world does the optimal product design resemble? LE 1 1 1 . - . . . 1 . . . . . . + . . 1 11 . 1 1 || - . 1 . 1 1 . . + . . 1 . 1 1 . . . . . - 11 41 . 11 1 1 . . . - . . 4 1 11 . . . 11 11 . . . . . 1 1 - . 4 - 1 . . . 4 - . - . . . - 11 . 16 - . . . 1 1 - . . . . . . . . + - - . 11 - + 1 11 - 11 . . 1 1 . . - - . . . . 1 1 1 - . . . - . + . 3 - . . . - 1 . - . 1 . . - 1 - . - . 1 . . 3 . . . 11 . . - . 1 1 1 11 . - . . . - . - 1 - . . - . . - . - - . . - - - . . . . 1 11 + - - . . ||| 1 11 . 1 - . . . - 1 . - - - 1 . + - - . . . - - - 1 1 + - - . 1 - . . . - - - + . - - . . . . - . + - . - . - 11 1 1 . - . G H K N A 1 User Pufts Crispies Flakes 33.99 Hoops 1 0 0 0 0 0 1 3 0 0 0 OO OOOO L M 5499 None Marshmell Dried Fruit P 1 0 1 O 1 0 1 1 0 0 0 0 1 0 0 1 32.99 1 0 0 1 0 1 1 0 0 4 0 0 0 1 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 1 0 1 0 1 0 1 0 0 0 0 O 0 0 0 0 O 0 0 1 0 OOOOOOO 1 0 1 1 0 0 0 0 0 0 1 1 0 0 0 1 1 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 1 0 0 1 1 0 0 1 0 1 1 0 0 1 1 0 0 0 0 0 0 0 O O O 1 0 1 1 0 1 0 1 0 0 0 0 1 1 0 1 0 0 1 0 0 0 1 0 0 0 O 0 0 O O 0 0 0 1 0 0 0 0 1 0 1 0 1 O 1 0 0 0 O 1 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 1 0 0 O 0 0 1 0 0 0 1 1 0 0 0 0 1 1 0 0 0 0 1 0 0 0 8 D E Card Corn Chocolate Fruit 1 1 1 0 1 2 1 0 1 3 1 1 4 1 1 5 1 1 6 1 1 7 1 1 0 1 1 9 0 1 1 10 0 1 1 11 0 1 12 O 1 13 0 1 14 O 1 15 O 2 1 1 2 2 1 0 2 3 1 2 4 1 0 2 5 1 0 2 6 0 1 2 7 1 2 8 0 1 2 9 0 1 2 10 0 1 2 11 0 0 2 12 0 2 13 2 14 0 2 15 0 1 1 3 2 1 3 3 1 3 4 1 0 3 5 1 O 3 5 0 1 3 7 0 1 3 8 O 1 9 0 1 10 0 1 3 11 12 3 13 0 Original Data 0 1 1 0 1 0 O 0 0 1 1 0 0 0 0 5 5 7 8 9 10 11 12 13 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 0 1 0 0 0 0 0 1 0 0 0 0 OOOOOO 1 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 1 O 1 1 1 1 0 1 0 0 1 o 0 0 0 1 0 2 0 0 0 O 1 0 0 1 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 1 0 0 1 1 1 0 D 0 O 1 0 0 0 0 0 E 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 0 1 0 0 OO 1 0 1 0 O 2 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 1 0 0 0 0 0 1 0 O 1 OOOOOO 1 0 1 0 1 0 0 1 1 0 0 0 0 O 0 0 0 O 0 1 0 E OOOOOO 0 1 0 OMO 0 1 0 E 0 1 0 1 1 0 0 0 0 0 D 0 0 0 1 0 1 0 1 0 0 0 E 1 0 09 1 1 1 1 0 + C O E F H 1 K Y 1 M N O A 0 45 0 0 1 0 1 0 3 3 4 O 1 0 O 0 o 1 0 1 O 1 0 o 0 2 0 0 1 o O 0 0 1 o O O 0 1 0 0 0 1 0 14 15 1 2 3 4 5 6 7 0 1 1 1 1 1 0 O O 0 0 4 4 4 4 1 0 0 0 0 1 0 0 O 1 0 1 1 O 0 0 46 47 40 49 50 51 52 53 54 55 56 52 58 59 0 1 0 0 0 0 1 0 0 4 1 0 1 0 0 0 O O 1 1 1 0 0 0 0 0 0 o 0 0 0 1 1 1 1 1 O O 0 1 1 1 1 1 0 0 0 0 0 4 4 6 10 4 1 10 5 8 4 1 2 1 5 1 0 1 0 1 0 0 0 0 0 1 1 0 0 0 o 5 0 1 O 0 O 4 0 0 1 0 O 0 0 0 0 0 O O O 4 4 O 0 1 0 0 0 0 1 0 0 0 0 1 0 o 1 0 1 0 1 o 0 1 0 1 0 o 1 0 0 1 1 0 1 o 0 1 o 1 o 1 0 O 1 2 0 1 O 1 0 0 0 0 1 0 0 0 0 03 1 0 0 O O 6 02 o 1 0 1 0 0 1 0 0 1 0 0 O 3 0 1 0 D 1 o O 0 1 3 2 1 5 9 7 8 10 O 0 1 0 1 0 0 0 1 1 54 65 66 62 1 o 1 o 0 1 O 1 1 1 1 0 9 10 11 12 11 14 15 3 2 3 4 5 G 7 3 5 10 11 12 13 14 15 1 2 0 0 0 0 0 O 0 O 0 1 O O 0 0 1 o 1 O O 0 O 0 0 0 0 1 1 1 1 1 0 O O 0 6 0 0 O D O 1 0 0 1 0 1 0 1 0 o 1 0 0 0 1 0 O O 1 O 1 0 0 1 O 1 6 9 6 1 0 0 1 0 o 1 0 O 0 0 1 1 1 1 1 O 0 0 0 O 10 72 72 73 74 75 36 77 78 79 O 1 o 1 O 1 0 0 1 0 1 O O O O t O O 0 O 1 o 1 O o 1 O 1 0 O 1 0 O 0 0 3 1 1 2 1 O 4 4 4 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 G 6 5 6 6 6 5 6 6 6 6 6 6 5 7 7 2 7 o 1 o 0 0 0 1 0 1 0 0 1 0 0 0 O 1 O 1 0 0 o O 0 O 1 0 0 0 D 0 . 0 0 o 1 1 1 1 1 0 Q O 1 0 1 O 0 1 0 1 0 1 0 0 o 1 o 0 0 0 0 0 1 0 0 E 7. o O o 0 0 o O 0 0 1 1 3 1 1 1 o 0 1 3 1 1 1 1 0 1 0 O O 0 O o 1 0 0 0 D 1 0 1 O 1 2 1 2 BORBOBB O 0 O O 0 0 O O 7 0 0 ol o 1 0 0 1 O 1 o 0 1 0 0 0 o 0 1 0 1 0 0 1 0 0 1 0 0 0 1 o O 1 0 O 1 0 1 0 0 1 D 1 88 89 90 91 92 93 O 0 0 1 0 o o 0 1 0 0 0 1 1 1 1 1 O 0 0 0 0 o o 0 1 0 1 0 O 1 6 30 . 3 7 6 10 0 0 5 5 7 8 9 10 11 12 13 14 15 1 2 3 4 5 5 7 6 9 10 11 12 13 0 1 0 0 0 o 1 0 0 1 D 0 0 0 0 O 0 E O O 0 1 1 o 0 1 O 1 o 1 1 1 1 + 1 0 0 1 0 0 1 o 1 0 1 0 0 0 0 0 O 1 O O 0 30 5 0 . 0 O 0 1 1 1 0 0 o 0 1 1 D 0 O 1 1 0 1 0 1 0 0 0 0 1 0 0 0 o 1 1 T 0 1 O 0 o 0 1 D 0 1 0 CONNE 95 96 97 S8 99 100 101 102 100 104 0 0 0 0 0 0 1 0 1 0 O 0 0 0 O 1 2 1 5 0 0 O 1 0 0 1 0 1 1 1 o 0 0 0 1 0 0 1 1 0 1 D O 0 o 0 1 0 1 o o 1 1 0 o 9 0 1 O 0 1 0 0 0 Original Data + Ready A B C 0 1 F G H L M N 0 1 0 0 2 2 7 o 0 0 0 1 0 O . 100 105 105 107 105 103 1 1 1 1 12 13 14 15 1 2 0 0 1 O 1 0 1 O 1 0 1 0 1 0 1 0 0 O 0 0 T 0 O o 1 O 0 O 1 0 1 0 O 1 1 O 0 0 0 1 1 1 1 1 0 D 0 0 1 0 0 o 0 1 0 O O 0 0 0 O 0 8 8 8 8 1 0 1 0 0 O E 1 1 1 OTT O 0 0 0 4 5 6 7 0 o 0 1 O 1 0 o O 1 1 0 0 0 O O 1 0 0 1 1 1 1 1 8 0 O 8 0 1 0 1 O 0 0 o 1 O O 0 1 o o 0 o 1 0 O 1 0 1 0 0 o 0 0 0 0 0 O 0 1 0 1 0 1 o 0 1 0 1 o 1 8 1 8 0 O 1 0 0 1 0 0 0 0 1 0 1 0 0 0 1 o O o 10 11 12 13 14 15 1 0 0 1 1 1 1 1 O 0 0 111 112 113 114 115 116 112 131 219 220 121 122 123 124 125 126 127 128 123 8 1 0 0 0 0 1 0 0 O 0 O O 0 0 O O 0 0 0 1 0 1 0 O 1 0 1 o O 1 0 o 0 0 0 O 1 o 1 1 0 o 0 0 o 1 0 0 1 O 0 0 1 0 0 0 0 O 1 0 0 2 3 4 5 6 7 1 1 1 0 1 0 O 0 1 0 0 0 1 o 1 0 0 1 0 1 0 0 1 0 O 1 o 1 0 1 0 O 1 O 1 0 0 0 1 1 0 0 0 0 1 O 0 1 o 0 O 0 1 0 0 0 0 0 1 0 O 1 o 1 o 0 O 0 1 D O 1 0 1 0 0 0 9 0 0 0 1 1 1 1 1 0 O 0 0 0 0 0 0 O 0 0 o 1 1 1 1 1 O OET TET 0 0 1 0 0 1 0 1 0 0 0 O 1 0 1 0 0 0 o 1 O 1 O 1 O 0 1 0 O 132 233 134 1 O 0 1 0 0 0 0 O 1 2 O O O O 0 o 1 0 0 O SET O 1 10 11 12 13 14 15 1 2 3 4 5 6 7 0 0 o 1 0 1 0 O 1 0 O 8 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 10 10 10 10 10 10 10 10 10 10 10 10 30 10 10 11 11 11 11 1 0 0 1 o 1 0 0 1 o 0 1 0 1 1 0 0 0 O 0 O O O 1 0 O o 1 1 1 0 0 O 0 0 0 1 0 0 0 0 1 0 O 0 1 0 O O . 0 0 1 1 0 0 OSO O 0 1 0 o O 0 0 O 1 O 1 0 O 1 0 1 0 0 1 o 1 o 0 0 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 0 0 0 1 0 1 0 0 1 0 0 1 0 1 0 0 0 0 1 0 0 0 O 1 0 0 1 o 1 0 o 1 0 0 1 O 136 237 133 139 140 141 162 143 144 145 146 147 128 149 150 151 152 153 154 155 156 157 158 159 160 163 162 1 D 0 0 1 1 1 1 1 0 0 0 0 D 0 0 D 0 9 10 11 12 13 14 15 1 2 3 4 0 0 0 0 0 o 0 1 1 1 o 0 0 0 1 0 0 0 0 1 0 1 0 0 0 O 1 0 0 0 o 1 0 o 0 1 0 1 0 0 0 0 1 0 0 0 0 0 1 0 1 o 0 0 1 0 1 o 0 1 O O O 0 1 1 1 1 1 O 0 0 O 0 0 0 0 o O 1 O 1 0 0 1 0 1 0 0 1 0 0 1 0 1 0 1 0 0 0 1 1 1 0 1 0 0 1 1 1 0 0 0 0 0 1 1 0 5 O 1 O 0 O 6 7 0 0 1 1 0 O 11 11 11 11 11 11 0 1 0 0 o 0 1 O 1 0 1 1 1 1 1 0 0 o OOOO OOO OOH 0 0 0 0 1 0 1 0 0 1 0 OGORO 9 10 11 0 1 0 0 1 0 : Original Data + c D E F 0 1 1 X 1 N 0 0 0 0 10 11 0 0 o 1 1 0 0 0 1 o 0 o 0 0 M o 1 0 0 0 0 0 0 1 0 0 0 0 1 0 o 1 1 1 1 1 0 1 1 0 0 0 1 0 0 1 O 0 1 O 0 0 + 0 0 0 1 O O 0 0 0 0 0 12 13 14 15 1 2 3 4 5 6 7 1 0 1 0 0 0 O 1 O 0 0 0 0 1 0 1 0 0 1 1 o O 1 0 0 1 0 D 0 0 0 0 1 0 0 1 0 1 1 1 1 1 0 0 0 161 162 103 164 365 166 167 168 169 170 121 172 173 174 175 120 277 178 179 100 1 0 o 1 o 0 0 1 O 0 O 1 1 11 11 11 11 11 11 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 13 0 0 1 1 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 O 0 0 o 0 0 1 1 1 1 1 0 0 1 0 0 O 0 0 0 0 O 0 T 0 O 1 O O 1 0 1 1 0 9 10 O O O O 0 0 1 1 1 0 1 0 1 0 0 0 0 1 0 0 0 1 0 11 0 1 o 0 1 O 1 0 0 O 1 0 1 o 0 1 0 1 a 1 1 0 0 1 O O 1 0 1 o 0 o 0 0 0 O 0 0 O O 0 12 13 14 15 1 2 1 1 O O 0 0 0 0 1 0 0 1 O O O 0 1 o 0 1 0 1 0 0 1 1 0 3 0 0 1 0 O 0 1 1 1 1 1 O 0 1 0 1 ET ET 102 133 154 185 186 187 18 O 1 O 0 0 0 O 0 1 1 0 0 1 0 0 0 O o 2 0 1 0 1 O 1 0 0 O 0 1 O O 0 O 0 0 0 0 0 0 0 O 0 1 1 1 1 1 O 0 0 0 O 1 0 0 0 0 1 0 0 1 0 1 o 0 0 0 0 O 0 0 0 1 0 1 0 1 o 0 1 0 0 1 0 1 0 0 1 O 1 o 0 1 0 0 4 5 6 7 8 9 10 11 12 13 14 15 1 2 3 0 0 1 0 O O 1 1 0 0 O 0 1 0 O 1 25 190 151 192 193 194 195 196 O 0 0 0 1 1 1 1 1 1 0 0 0 0 0 1 0 O 0 1 0 0 0 0 0 0 1 0 0 O 1 0 1 o 0 1 0 0 1 0 13 13 13 13 13 13 13 13 13 13 13 13 14 14 14 14 14 14 14 14 14 14 14 14 14 1 1 0 1 O O 1 199 O 0 1 O 298 0 1 0 0 D 0 0 0 1 1 1 1 1 0 0 0 0 0 1 0 0 1 0 0 0 O O 1 o o 1 1 0 O 0 0 O 0 O 0 O O O o 1 0 0 3 O 1 0 1 0 0 5 1 0 0 0 9 O 0 1 1 0 0 0 O 1 O 1 O 7 0 0 0 200 201 202 201 204 205 200 207 208 209 0 1 o 1 0 1 O 1 0 1 1 1 1 1 0 0 1 1 O 0 O 0 1 0 1 0 1 0 1 0 0 0 O 0 D 0 0 a O 0 0 0 0 0 1 1 1 1 1 0 0 O 0 0 0 0 1 0 1 O 0 1 0 1 1 0 1 0 1 0 0 0 0 1 o 0 1 0 1 0 0 1 0 1 0 0 O O O O 0 0 0 0 1 0 1 o . 1 o 1 0 0 1 0 0 0 1 0 1 O 0 OTC 0 O 0 0 O 9 30 11 12 13 14 15 1 2 3 4 5 6 2 O 1 0 0 0 1 0 0 0 0 1 O O 0 0 0 1 1 1 1 1 0 0 1 1 0 0 0 o 0 0 1 0 0 0 14 15 15 15 15 15 15 15 15 0 0 1 211 212 213 214 215 216 217 318 219 220 0 0 0 1 o 0 1 0 1 0 0 0 1 1 0 1 D 0 D O 1 0 0 0 1 O o o 1 1 1 1 1 0 0 1 0 1 o GOTOVO 0 1 0 1 1 0 0 0 0 0 1 O O 0 0 DO 1 0 O O 1 9 Original Data + Ready A C D 1 G H 1 M N 0 1 0 0 0 1 0 O 9 216 232 5 6. 7 1 1 0 0 0 O 0 0 TODO WIZ 1 0 1 O 0 1 0 0 0 1 0 0 1 1 1 1 1 0 1 0 0 0 1 0 0 2 1 2 4 O 0 15 15 15 15 15 15 15 15 15 15 15 1 0 0 0 O 1 0 0 0 1 D O D 0 0 1 O 1 0 O Q D 3 1 D 1 10 210 220 21 222 223 224 225 220 222 228 9 10 11 12 13 14 O 1 0 1 0 1 0 1 0 0 1 0 0 0 1 0 0 0 0 1 o 0 1 1 O 1 0 0 1 0 1 0 0 0 0 1 1 1 1 O O 1 O 11 O 0 0 0 o 1 o O O 0 0 0 1 0 0 0 1 7 6 ST O 0 o 0 220 ASSIGNMENT 3: CONJOINT ANALYSIS FOR CEREALS You are a mid-level manager for a major cereal manufacturer. Top management has tasked you with designing a new brand of cereal. Not only do you have to come up with an optimal cereal product, but you also have to prove to your bosses why the product is a good design. Your past experience has told you to that four attributes drive cereal sales: the flavor of the cereal, the shape of the cereal, price and add-ins. From your experience, you further sub-divide these attributes into sublevels. There are three levels of the flavor: corn, chocolate and fruit. There are four basic shapes: puffs, hoops, crispies and flakes. There are three price points: $2.99, $3.99, and $4.99. And there are three types of add-ins: none. marshmallows and dried fruit. These attributes and levels of the attributes are represented in the table below: TABLE 1. Factorial Design FLAVORS SHAPES PRICES ADD-INS Coen $2.99 None Chocolate Hoops $3.99 Marshmallows Fruit Crispies $4.99 Dried Fruits Flakes To assess the optimal product design, you decide to do a conjoint analysis. But before you do a conjoint, you have to do some prep work. PART 1. Conjoint Analysis: Prep Work. QUESTION 1 (3 POINTS) How many possible combinations of cereal are represented in your factorial design? Show your work QUESTION 2 (3 POINTS) Based on the number of attributes and levels in Table I, what is the minimum number of parameters (e.g. cards) each respondent in your conjoint analysis should evaluate Show your work. PART 2. Conjoint Analysis: the Regression You performed a conjoint analysis for cereals, and your results are organized in the spreadsheet named "Conjoint Analysis Data (Cereals)." The data represents 225 observations from 15 individuals. To access this file go to Blackboard Mktg 370>Assignments>Assignment 4. Run a regression on the data (see Lecture 11 Slides for proper procedures). PART 2. Conjoint Analysis: the Regression You performed a conjoint analysis for cereals, and your results are organized in the spreadsheet named "Conjoint Analysis Data (Cereals)." The data represents 225 observations from 15 individuals. To access this file go to Blackboard>Mktg 370>Assignments>Assignment 4. Run a regression on the data (see Lecture 11 Slides for proper procedures). QUESTION 3 (5 POINTS) Using the spreadsheet, analyze the preference ratings from User 2. What can you say about User 2's taste in cereals based on User 2's preference ratings? QUESTION 4(5 POINTS) Using the output from the regression analysis, what are the partworths for each level of the attributes? Enter the partworth values in the table below. **PLEASE ATTACH REGRESSION OUTPUT FROM EXCEL FOR FULL CREDIT** FLAVORS SHAPES PRICES ADD-INS Com Puffs: $2.99 None Chocolate: Hoops $3.99 Marshmallows Fruit: Crispies $4.99 Dried Fruits Flakes QUESTION 5 (2 POINTS) Using the intercept and partworths from the output, write out the linear equation of the regression. QUESTION 6 (5 POINTS) Based on your analysis, what is the optimal product design (optimal combination of attribute levels)? What cereal brand in the real world does the optimal product design resemble? LE 1 1 1 . - . . . 1 . . . . . . + . . 1 11 . 1 1 || - . 1 . 1 1 . . + . . 1 . 1 1 . . . . . - 11 41 . 11 1 1 . . . - . . 4 1 11 . . . 11 11 . . . . . 1 1 - . 4 - 1 . . . 4 - . - . . . - 11 . 16 - . . . 1 1 - . . . . . . . . + - - . 11 - + 1 11 - 11 . . 1 1 . . - - . . . . 1 1 1 - . . . - . + . 3 - . . . - 1 . - . 1 . . - 1 - . - . 1 . . 3 . . . 11 . . - . 1 1 1 11 . - . . . - . - 1 - . . - . . - . - - . . - - - . . . . 1 11 + - - . . ||| 1 11 . 1 - . . . - 1 . - - - 1 . + - - . . . - - - 1 1 + - - . 1 - . . . - - - + . - - . . . . - . + - . - . - 11 1 1 . - . G H K N A 1 User Pufts Crispies Flakes 33.99 Hoops 1 0 0 0 0 0 1 3 0 0 0 OO OOOO L M 5499 None Marshmell Dried Fruit P 1 0 1 O 1 0 1 1 0 0 0 0 1 0 0 1 32.99 1 0 0 1 0 1 1 0 0 4 0 0 0 1 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 1 0 1 0 1 0 1 0 0 0 0 O 0 0 0 0 O 0 0 1 0 OOOOOOO 1 0 1 1 0 0 0 0 0 0 1 1 0 0 0 1 1 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 1 0 0 1 1 0 0 1 0 1 1 0 0 1 1 0 0 0 0 0 0 0 O O O 1 0 1 1 0 1 0 1 0 0 0 0 1 1 0 1 0 0 1 0 0 0 1 0 0 0 O 0 0 O O 0 0 0 1 0 0 0 0 1 0 1 0 1 O 1 0 0 0 O 1 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 1 0 0 O 0 0 1 0 0 0 1 1 0 0 0 0 1 1 0 0 0 0 1 0 0 0 8 D E Card Corn Chocolate Fruit 1 1 1 0 1 2 1 0 1 3 1 1 4 1 1 5 1 1 6 1 1 7 1 1 0 1 1 9 0 1 1 10 0 1 1 11 0 1 12 O 1 13 0 1 14 O 1 15 O 2 1 1 2 2 1 0 2 3 1 2 4 1 0 2 5 1 0 2 6 0 1 2 7 1 2 8 0 1 2 9 0 1 2 10 0 1 2 11 0 0 2 12 0 2 13 2 14 0 2 15 0 1 1 3 2 1 3 3 1 3 4 1 0 3 5 1 O 3 5 0 1 3 7 0 1 3 8 O 1 9 0 1 10 0 1 3 11 12 3 13 0 Original Data 0 1 1 0 1 0 O 0 0 1 1 0 0 0 0 5 5 7 8 9 10 11 12 13 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 0 1 0 0 0 0 0 1 0 0 0 0 OOOOOO 1 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 1 O 1 1 1 1 0 1 0 0 1 o 0 0 0 1 0 2 0 0 0 O 1 0 0 1 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 1 0 0 1 1 1 0 D 0 O 1 0 0 0 0 0 E 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 0 1 0 0 OO 1 0 1 0 O 2 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 1 0 0 0 0 0 1 0 O 1 OOOOOO 1 0 1 0 1 0 0 1 1 0 0 0 0 O 0 0 0 O 0 1 0 E OOOOOO 0 1 0 OMO 0 1 0 E 0 1 0 1 1 0 0 0 0 0 D 0 0 0 1 0 1 0 1 0 0 0 E 1 0 09 1 1 1 1 0 + C O E F H 1 K Y 1 M N O A 0 45 0 0 1 0 1 0 3 3 4 O 1 0 O 0 o 1 0 1 O 1 0 o 0 2 0 0 1 o O 0 0 1 o O O 0 1 0 0 0 1 0 14 15 1 2 3 4 5 6 7 0 1 1 1 1 1 0 O O 0 0 4 4 4 4 1 0 0 0 0 1 0 0 O 1 0 1 1 O 0 0 46 47 40 49 50 51 52 53 54 55 56 52 58 59 0 1 0 0 0 0 1 0 0 4 1 0 1 0 0 0 O O 1 1 1 0 0 0 0 0 0 o 0 0 0 1 1 1 1 1 O O 0 1 1 1 1 1 0 0 0 0 0 4 4 6 10 4 1 10 5 8 4 1 2 1 5 1 0 1 0 1 0 0 0 0 0 1 1 0 0 0 o 5 0 1 O 0 O 4 0 0 1 0 O 0 0 0 0 0 O O O 4 4 O 0 1 0 0 0 0 1 0 0 0 0 1 0 o 1 0 1 0 1 o 0 1 0 1 0 o 1 0 0 1 1 0 1 o 0 1 o 1 o 1 0 O 1 2 0 1 O 1 0 0 0 0 1 0 0 0 0 03 1 0 0 O O 6 02 o 1 0 1 0 0 1 0 0 1 0 0 O 3 0 1 0 D 1 o O 0 1 3 2 1 5 9 7 8 10 O 0 1 0 1 0 0 0 1 1 54 65 66 62 1 o 1 o 0 1 O 1 1 1 1 0 9 10 11 12 11 14 15 3 2 3 4 5 G 7 3 5 10 11 12 13 14 15 1 2 0 0 0 0 0 O 0 O 0 1 O O 0 0 1 o 1 O O 0 O 0 0 0 0 1 1 1 1 1 0 O O 0 6 0 0 O D O 1 0 0 1 0 1 0 1 0 o 1 0 0 0 1 0 O O 1 O 1 0 0 1 O 1 6 9 6 1 0 0 1 0 o 1 0 O 0 0 1 1 1 1 1 O 0 0 0 O 10 72 72 73 74 75 36 77 78 79 O 1 o 1 O 1 0 0 1 0 1 O O O O t O O 0 O 1 o 1 O o 1 O 1 0 O 1 0 O 0 0 3 1 1 2 1 O 4 4 4 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 G 6 5 6 6 6 5 6 6 6 6 6 6 5 7 7 2 7 o 1 o 0 0 0 1 0 1 0 0 1 0 0 0 O 1 O 1 0 0 o O 0 O 1 0 0 0 D 0 . 0 0 o 1 1 1 1 1 0 Q O 1 0 1 O 0 1 0 1 0 1 0 0 o 1 o 0 0 0 0 0 1 0 0 E 7. o O o 0 0 o O 0 0 1 1 3 1 1 1 o 0 1 3 1 1 1 1 0 1 0 O O 0 O o 1 0 0 0 D 1 0 1 O 1 2 1 2 BORBOBB O 0 O O 0 0 O O 7 0 0 ol o 1 0 0 1 O 1 o 0 1 0 0 0 o 0 1 0 1 0 0 1 0 0 1 0 0 0 1 o O 1 0 O 1 0 1 0 0 1 D 1 88 89 90 91 92 93 O 0 0 1 0 o o 0 1 0 0 0 1 1 1 1 1 O 0 0 0 0 o o 0 1 0 1 0 O 1 6 30 . 3 7 6 10 0 0 5 5 7 8 9 10 11 12 13 14 15 1 2 3 4 5 5 7 6 9 10 11 12 13 0 1 0 0 0 o 1 0 0 1 D 0 0 0 0 O 0 E O O 0 1 1 o 0 1 O 1 o 1 1 1 1 + 1 0 0 1 0 0 1 o 1 0 1 0 0 0 0 0 O 1 O O 0 30 5 0 . 0 O 0 1 1 1 0 0 o 0 1 1 D 0 O 1 1 0 1 0 1 0 0 0 0 1 0 0 0 o 1 1 T 0 1 O 0 o 0 1 D 0 1 0 CONNE 95 96 97 S8 99 100 101 102 100 104 0 0 0 0 0 0 1 0 1 0 O 0 0 0 O 1 2 1 5 0 0 O 1 0 0 1 0 1 1 1 o 0 0 0 1 0 0 1 1 0 1 D O 0 o 0 1 0 1 o o 1 1 0 o 9 0 1 O 0 1 0 0 0 Original Data + Ready A B C 0 1 F G H L M N 0 1 0 0 2 2 7 o 0 0 0 1 0 O . 100 105 105 107 105 103 1 1 1 1 12 13 14 15 1 2 0 0 1 O 1 0 1 O 1 0 1 0 1 0 1 0 0 O 0 0 T 0 O o 1 O 0 O 1 0 1 0 O 1 1 O 0 0 0 1 1 1 1 1 0 D 0 0 1 0 0 o 0 1 0 O O 0 0 0 O 0 8 8 8 8 1 0 1 0 0 O E 1 1 1 OTT O 0 0 0 4 5 6 7 0 o 0 1 O 1 0 o O 1 1 0 0 0 O O 1 0 0 1 1 1 1 1 8 0 O 8 0 1 0 1 O 0 0 o 1 O O 0 1 o o 0 o 1 0 O 1 0 1 0 0 o 0 0 0 0 0 O 0 1 0 1 0 1 o 0 1 0 1 o 1 8 1 8 0 O 1 0 0 1 0 0 0 0 1 0 1 0 0 0 1 o O o 10 11 12 13 14 15 1 0 0 1 1 1 1 1 O 0 0 111 112 113 114 115 116 112 131 219 220 121 122 123 124 125 126 127 128 123 8 1 0 0 0 0 1 0 0 O 0 O O 0 0 O O 0 0 0 1 0 1 0 O 1 0 1 o O 1 0 o 0 0 0 O 1 o 1 1 0 o 0 0 o 1 0 0 1 O 0 0 1 0 0 0 0 O 1 0 0 2 3 4 5 6 7 1 1 1 0 1 0 O 0 1 0 0 0 1 o 1 0 0 1 0 1 0 0 1 0 O 1 o 1 0 1 0 O 1 O 1 0 0 0 1 1 0 0 0 0 1 O 0 1 o 0 O 0 1 0 0 0 0 0 1 0 O 1 o 1 o 0 O 0 1 D O 1 0 1 0 0 0 9 0 0 0 1 1 1 1 1 0 O 0 0 0 0 0 0 O 0 0 o 1 1 1 1 1 O OET TET 0 0 1 0 0 1 0 1 0 0 0 O 1 0 1 0 0 0 o 1 O 1 O 1 O 0 1 0 O 132 233 134 1 O 0 1 0 0 0 0 O 1 2 O O O O 0 o 1 0 0 O SET O 1 10 11 12 13 14 15 1 2 3 4 5 6 7 0 0 o 1 0 1 0 O 1 0 O 8 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 10 10 10 10 10 10 10 10 10 10 10 10 30 10 10 11 11 11 11 1 0 0 1 o 1 0 0 1 o 0 1 0 1 1 0 0 0 O 0 O O O 1 0 O o 1 1 1 0 0 O 0 0 0 1 0 0 0 0 1 0 O 0 1 0 O O . 0 0 1 1 0 0 OSO O 0 1 0 o O 0 0 O 1 O 1 0 O 1 0 1 0 0 1 o 1 o 0 0 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 0 0 0 1 0 1 0 0 1 0 0 1 0 1 0 0 0 0 1 0 0 0 O 1 0 0 1 o 1 0 o 1 0 0 1 O 136 237 133 139 140 141 162 143 144 145 146 147 128 149 150 151 152 153 154 155 156 157 158 159 160 163 162 1 D 0 0 1 1 1 1 1 0 0 0 0 D 0 0 D 0 9 10 11 12 13 14 15 1 2 3 4 0 0 0 0 0 o 0 1 1 1 o 0 0 0 1 0 0 0 0 1 0 1 0 0 0 O 1 0 0 0 o 1 0 o 0 1 0 1 0 0 0 0 1 0 0 0 0 0 1 0 1 o 0 0 1 0 1 o 0 1 O O O 0 1 1 1 1 1 O 0 0 O 0 0 0 0 o O 1 O 1 0 0 1 0 1 0 0 1 0 0 1 0 1 0 1 0 0 0 1 1 1 0 1 0 0 1 1 1 0 0 0 0 0 1 1 0 5 O 1 O 0 O 6 7 0 0 1 1 0 O 11 11 11 11 11 11 0 1 0 0 o 0 1 O 1 0 1 1 1 1 1 0 0 o OOOO OOO OOH 0 0 0 0 1 0 1 0 0 1 0 OGORO 9 10 11 0 1 0 0 1 0 : Original Data + c D E F 0 1 1 X 1 N 0 0 0 0 10 11 0 0 o 1 1 0 0 0 1 o 0 o 0 0 M o 1 0 0 0 0 0 0 1 0 0 0 0 1 0 o 1 1 1 1 1 0 1 1 0 0 0 1 0 0 1 O 0 1 O 0 0 + 0 0 0 1 O O 0 0 0 0 0 12 13 14 15 1 2 3 4 5 6 7 1 0 1 0 0 0 O 1 O 0 0 0 0 1 0 1 0 0 1 1 o O 1 0 0 1 0 D 0 0 0 0 1 0 0 1 0 1 1 1 1 1 0 0 0 161 162 103 164 365 166 167 168 169 170 121 172 173 174 175 120 277 178 179 100 1 0 o 1 o 0 0 1 O 0 O 1 1 11 11 11 11 11 11 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 13 0 0 1 1 0 0 0 0 0 1 0 0 0 0 1 0 1 0 0 0 O 0 0 o 0 0 1 1 1 1 1 0 0 1 0 0 O 0 0 0 0 O 0 T 0 O 1 O O 1 0 1 1 0 9 10 O O O O 0 0 1 1 1 0 1 0 1 0 0 0 0 1 0 0 0 1 0 11 0 1 o 0 1 O 1 0 0 O 1 0 1 o 0 1 0 1 a 1 1 0 0 1 O O 1 0 1 o 0 o 0 0 0 O 0 0 O O 0 12 13 14 15 1 2 1 1 O O 0 0 0 0 1 0 0 1 O O O 0 1 o 0 1 0 1 0 0 1 1 0 3 0 0 1 0 O 0 1 1 1 1 1 O 0 1 0 1 ET ET 102 133 154 185 186 187 18 O 1 O 0 0 0 O 0 1 1 0 0 1 0 0 0 O o 2 0 1 0 1 O 1 0 0 O 0 1 O O 0 O 0 0 0 0 0 0 0 O 0 1 1 1 1 1 O 0 0 0 O 1 0 0 0 0 1 0 0 1 0 1 o 0 0 0 0 O 0 0 0 1 0 1 0 1 o 0 1 0 0 1 0 1 0 0 1 O 1 o 0 1 0 0 4 5 6 7 8 9 10 11 12 13 14 15 1 2 3 0 0 1 0 O O 1 1 0 0 O 0 1 0 O 1 25 190 151 192 193 194 195 196 O 0 0 0 1 1 1 1 1 1 0 0 0 0 0 1 0 O 0 1 0 0 0 0 0 0 1 0 0 O 1 0 1 o 0 1 0 0 1 0 13 13 13 13 13 13 13 13 13 13 13 13 14 14 14 14 14 14 14 14 14 14 14 14 14 1 1 0 1 O O 1 199 O 0 1 O 298 0 1 0 0 D 0 0 0 1 1 1 1 1 0 0 0 0 0 1 0 0 1 0 0 0 O O 1 o o 1 1 0 O 0 0 O 0 O 0 O O O o 1 0 0 3 O 1 0 1 0 0 5 1 0 0 0 9 O 0 1 1 0 0 0 O 1 O 1 O 7 0 0 0 200 201 202 201 204 205 200 207 208 209 0 1 o 1 0 1 O 1 0 1 1 1 1 1 0 0 1 1 O 0 O 0 1 0 1 0 1 0 1 0 0 0 O 0 D 0 0 a O 0 0 0 0 0 1 1 1 1 1 0 0 O 0 0 0 0 1 0 1 O 0 1 0 1 1 0 1 0 1 0 0 0 0 1 o 0 1 0 1 0 0 1 0 1 0 0 O O O O 0 0 0 0 1 0 1 o . 1 o 1 0 0 1 0 0 0 1 0 1 O 0 OTC 0 O 0 0 O 9 30 11 12 13 14 15 1 2 3 4 5 6 2 O 1 0 0 0 1 0 0 0 0 1 O O 0 0 0 1 1 1 1 1 0 0 1 1 0 0 0 o 0 0 1 0 0 0 14 15 15 15 15 15 15 15 15 0 0 1 211 212 213 214 215 216 217 318 219 220 0 0 0 1 o 0 1 0 1 0 0 0 1 1 0 1 D 0 D O 1 0 0 0 1 O o o 1 1 1 1 1 0 0 1 0 1 o GOTOVO 0 1 0 1 1 0 0 0 0 0 1 O O 0 0 DO 1 0 O O 1 9 Original Data + Ready A C D 1 G H 1 M N 0 1 0 0 0 1 0 O 9 216 232 5 6. 7 1 1 0 0 0 O 0 0 TODO WIZ 1 0 1 O 0 1 0 0 0 1 0 0 1 1 1 1 1 0 1 0 0 0 1 0 0 2 1 2 4 O 0 15 15 15 15 15 15 15 15 15 15 15 1 0 0 0 O 1 0 0 0 1 D O D 0 0 1 O 1 0 O Q D 3 1 D 1 10 210 220 21 222 223 224 225 220 222 228 9 10 11 12 13 14 O 1 0 1 0 1 0 1 0 0 1 0 0 0 1 0 0 0 0 1 o 0 1 1 O 1 0 0 1 0 1 0 0 0 0 1 1 1 1 O O 1 O 11 O 0 0 0 o 1 o O O 0 0 0 1 0 0 0 1 7 6 ST O 0 o 0 220

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