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For 2016, Charlies would like to discontinue one of the appetizers. Which one would you suggest...

For 2016, Charlies would like to discontinue one of the appetizers. Which one would you suggest they discontinue, and why do you make that recommendation? Find two different ways to do an analysis that leads you to two different conclusions. Use information provided below.

Appetizer Month Sales (Orders)
French Fries April 8897
French Fries August 8424
French Fries October 8203
French Fries July 8446
French Fries May 8059
French Fries June 8290
French Fries September 8966
Cheese Curds July 1842
Cheese Curds June 1920
Cheese Curds October 1697
Cheese Curds April 1609
Cheese Curds September 1755
Cheese Curds May 1706
Cheese Curds August 2071
Chicken Strips July 749
Chicken Strips September 796
Chicken Strips October 619
Chicken Strips August 802
Chicken Strips May 634
Chicken Strips June 766
Chicken Strips April 869
Onion Rings July 6541
Onion Rings August 6365
Onion Rings May 6699
Onion Rings June 6626
Onion Rings April 7070
Onion Rings October 6123
Onion Rings September 6360
Corn Dogs July 5973
Corn Dogs June 6103
Corn Dogs May 6051
Corn Dogs August 6054
Corn Dogs October 6431
Corn Dogs September 6087
Corn Dogs April 5995
math   Statistics-And-Probability   
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Answer #1

let us conseder charles would like to

0 12 Correlation coefficient, rnxyx)2v/sqrt(nx2-(2x)2)sqrtn2y2-2v)2) 13 Slope: 14 Offset 15 16 Linear regression equation chicken strips Onion Chesse French Rings 17 18 19 20 21 month # (X) 869 755161 634401956 12686699 44876601 13398 6051 3661460112102 766 586756 2298 6626 43903876 198786103 37266918309 749561001 2966441 4148648125764 5973 35676729 23892 8026432044010 6265 39250225156054 3665091630270 796 63361647766360 40449600 81606087 3705156936522 18897 79E+07 81609 25888811609 8696970 48580900 6970 5995 359400255995 8059 6.5E+07 161181706 913412 982906.9E+07 248701920 3686400 5760 16 8446 7.1E+07 33784 1842 3392964 7368 2584247.1E+07 4212020714280410355 36 89668E+07537961755 3080025 1 982036.7+07 5741697 2879809118796193831614333 6123 37491129 42861 6259 39175081 43813 140 59285 5E+08 237006 12600 2.3E07 50913 5235 3964855 20550 45484 2.96E+08 178356 42522 2.58E+08 170903 10530796 23 24 25 total 26 28 chicken strips sale Chesse French Onion Corn 27 Appetizer (Y1) 28 Slope 29 offset turds (Y2) Fries (Y3) Rings (Y4) Dogs (Y5) 29 804 70095958 0.67 0.0009 .06370.1090 0.9214 0.4510 18 14 128 8488 1727 0.03 0.25 0.33-0.96 31 r square 32 since the slope of onion rings has the biggest negative value, the value of sales (Y4) will decrease in the most fast pace with increase in X, i.e.for every coming month 33 also, since the coefficient of determination, r square is highest for onion rings, and r is negative for onion rings, the increase in X will cause the maximum variability in Y for onion rings 34 hence the sales of onion rings in the future are going to fall most rapidaly, hence Onion Rings should be discontinued 350 12 Correlation coefficient, rnxyx)2v/sqrt(nx2-(2x)2)sqrtn2y2-2v)2) 13 Slope: 14 Offset 15 16 Linear regression equation chicken strips Onion Chesse French Rings 17 18 19 20 21 month # (X) 869 755161 634401956 12686699 44876601 13398 6051 3661460112102 766 586756 2298 6626 43903876 198786103 37266918309 749561001 2966441 4148648125764 5973 35676729 23892 8026432044010 6265 39250225156054 3665091630270 796 63361647766360 40449600 81606087 3705156936522 18897 79E+07 81609 25888811609 8696970 48580900 6970 5995 359400255995 8059 6.5E+07 161181706 913412 982906.9E+07 248701920 3686400 5760 16 8446 7.1E+07 33784 1842 3392964 7368 2584247.1E+07 4212020714280410355 36 89668E+07537961755 3080025 1 982036.7+07 5741697 2879809118796193831614333 6123 37491129 42861 6259 39175081 43813 140 59285 5E+08 237006 12600 2.3E07 50913 5235 3964855 20550 45484 2.96E+08 178356 42522 2.58E+08 170903 10530796 23 24 25 total 26 28 chicken strips sale Chesse French Onion Corn 27 Appetizer (Y1) 28 Slope 29 offset turds (Y2) Fries (Y3) Rings (Y4) Dogs (Y5) 29 804 70095958 0.67 0.0009 .06370.1090 0.9214 0.4510 18 14 128 8488 1727 0.03 0.25 0.33-0.96 31 r square 32 since the slope of onion rings has the biggest negative value, the value of sales (Y4) will decrease in the most fast pace with increase in X, i.e.for every coming month 33 also, since the coefficient of determination, r square is highest for onion rings, and r is negative for onion rings, the increase in X will cause the maximum variability in Y for onion rings 34 hence the sales of onion rings in the future are going to fall most rapidaly, hence Onion Rings should be discontinued 35

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