Question

SAS code for problem:

title 'grocery questions';
data a; /* This data set will be a temporary sas file with name
'a' . In this example we don't need to refer to this
name as if there is only one temporary sas file in use,
any procedure will automatically use it. */

input y x1 x2 x3 ; /* names input variables */

cards;
4264 305657 7.17 0
4496 328476 6.2 0
4317 317164 4.61 0
4292 366745 7.02 0
4945 265518 8.61 1
4325 301995 6.88 0
4110 269334 7.23 0
4111 267631 6.27 0
4161 296350 6.49 0
4560 277223 6.37 0
4401 269189 7.05 0
4251 277133 6.34 0
4222 282892 6.94 0
4063 306639 8.56 0
4343 328405 6.71 0
4833 321773 5.82 1
4453 272319 6.82 0
4195 293880 8.38 0
4394 300867 7.72 0
4099 296872 7.67 0
4816 245674 7.72 1
4867 211944 6.45 1
4114 227996 7.22 0
4314 248328 8.5 0
4289 249894 8.08 0
4269 302660 7.26 0
4347 273848 7.39 0
4178 245743 8.12 0
4333 267673 6.75 0
4226 256506 7.79 0
4121 271854 7.89 0
3998 293225 9.01 0
4475 269121 8.01 0
4545 322812 7.21 0
4016 252225 7.85 0
4207 261365 6.14 0
4148 287645 6.76 0
4562 289666 7.92 0
4146 270051 8.19 0
4555 265239 7.55 0
4365 352466 6.94 0
4471 426908 7.25 0
5045 369989 9.65 1
4469 472476 8.2 0
4408 414102 8.02 0
4219 302507 6.72 0
4211 382686 7.23 0
4993 442782 7.61 1
4309 322303 7.39 0
4499 290455 7.99 0
4186 411750 7.83 0
4342 292087 7.77 0
4172 414867 7.7 0
4351 290085 7.65 0
. 302000 7.2 0
;

proc print;
run;

proc reg data=a;
model y=x1 x2 x3/p clm;
output out=regout p=fitted r=residual;
run;

1) In a small-scale experimental study of the relation between degree of brand liking (Y) and moisture content of the product (X1) and sweetness of the product (X2), the following results were obtained from the experiment based on a completely randomized design. Partial data follows, and the complete data set is included in the SAS code, which is named "BrandSAS.525s19.txt" 4 2 64 4 4 73 3 4 2 15 10 2 94 16 10 4 100 c) Prepare a correlation matrix for X1 and X2 using SAS. d) Describe your findings from the previous part.

Answer 1

The ReG Procad 54 DF Model 35 16 ,c001 83168 05to 169 505 5t Rtot MSe 143.4 29 # R-Square o.Gag4 4359. 2 x8 Adj R-Sq, C.6591 pereda, mean Coe f ar 3.29006 4192. 68c 30 rp3.03494 21.72 x1 -13, 59, R3-0686o 5.5584 629. t7435 3 CAS Outru yegsession enuaioo: cut ut flrd oth -the Fven below above daratet ease fied flo, fiev .saoiss:ng 'okie. ธิ the dange