PS3115 Fall2024 Bivariate Relationships Lab Assignment
Katelyn Little
11-23-2024
Add your Name and the Date
The first thing you need to do in this file is to add your name and date in the lines underneath this document’s title.
Identify and Set Your Working Directory
You need to identify and set your working directory in this section.
#Installing and Loading Packages and Data Set You need to install and load the packages and data set you’ll use for the lab assignment in this section.
library("dplyr")##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionlibrary("tidyverse")## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ forcats 1.0.0 ✔ readr 2.1.5
## ✔ ggplot2 3.5.1 ✔ stringr 1.5.1
## ✔ lubridate 1.9.3 ✔ tibble 3.2.1
## ✔ purrr 1.0.2 ✔ tidyr 1.3.1## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errorslibrary("openxlsx")
library("forcats")
library("corrr")
library("janitor")##
## Attaching package: 'janitor'
##
## The following objects are masked from 'package:stats':
##
## chisq.test, fisher.testCreating Dichotomous Variables
You need to create three dichotomous variables based on existing variables in the data set in this section. The first should be named “Prefers.Brisket” and should take on a value of “1” if a respondent identified beef brisket as their preferred type of BBQ meat and a value of “0” if they did not. The second should be named “Prefers.Fries” and should take on a value of “1” if a respondent identified french fries as their preferred side dish and a value of “0” if they did not. The third should be named “Longer.Distances” and should take on a value of “1” if a respondent is willing to drive longer than average for good BBQ and and value of “0” if they are not.
BivariateRelationshipsData <- read.xlsx("BivariateRelationshipsData.xlsx")Relationships between Two Continuous and Most Discrete and Ordinal Variables
You need to produce a pair of basic scatterplots and analyze a pair of bivariate correlations in this section.
names(BivariateRelationshipsData)## [1] "Observation" "Sex" "Age"
## [4] "Hometown" "Favorite.Meat" "Favorite.Sauce"
## [7] "Sweetness" "Favorite.Side" "Restaurant.City"
## [10] "Restaurant.Name" "Minutes.Driving" "Sandwich.Price"
## [13] "Dinner.Plate.Price" "Ribs.Price"Scatterplots
You need to produce two basic scatterplots in this subsection. The first should be between variables that identify respondents’ preferred level of sweetness of BBQ sauce and how much they are willing to pay for a plate of pulled pork. When making this scatterplot, let’s assume you are interested in whether a respondent’s sauce preference influences how much they will pay for a plate of pulled pork. The second scatterplot should be between variables that identify how much respondents are willing to pay for a plate of ribs and how far they are willing to drive for good BBQ. When making this scatterplot, let’s assume you are interested in whether how much respondents are willing to pay for a plate of ribs influences how far they are willing to drive for good BBQ.
ggplot(BivariateRelationshipsData,
aes(x = Sweetness,
y = Sandwich.Price)) +
geom_point() 
ggplot(BivariateRelationshipsData,
aes(x = Ribs.Price,
y = Minutes.Driving)) +
geom_point()
Correlations
You need to estimate two bivariate correlations in this subsection. The first should be between variables that identify respondents’ preferred level of sweetness of BBQ sauce and how much they are willing to pay for a plate of pulled pork. The second correlation should be between variables that identify how much respondents are willing to pay for a plate of ribs and how far they are willing to drive for good BBQ.
BivariateRelationshipsData %>% #data set
select(Ribs.Price,Minutes.Driving)%>% #variables of interest
correlate() ## Correlation computed with
## • Method: 'pearson'
## • Missing treated using: 'pairwise.complete.obs'## # A tibble: 2 × 3
## term Ribs.Price Minutes.Driving
## <chr> <dbl> <dbl>
## 1 Ribs.Price NA 0.180
## 2 Minutes.Driving 0.180 NARelationships between a Continuous Variable and a Dichotomous Variable
You need to produce a pair of scatterplots appropriate for visualizing the relationship between a continuous and a dichotomous variable and conduct a pair of difference-of-means or t-tests in this section.
Scatterplots
You need to produce two appropriate scatterplots for visualizing the relationship between a continuous and a dichotomous variable in this subsection. The first should be between variables that identify respondents whose favorite type of BBQ is beef brisket and respondents’ preferred level of sauce sweetness. The second scatterplot should be between variables that identify respondents’ age and whether or not french fries are their favorite type of side dish for BBQ. Both scatterplots should plot the continuous variable along the y-axis and the dichotomous variable along the x-axis.
BivariateRelationshipsData %>%
mutate(Beef.Brisket=NA) %>%
mutate(Beef.Brisket=replace(Beef.Brisket, Favorite.Meat==3, 1)) %>%
mutate(Beef.Brisket=replace(Beef.Brisket, Favorite.Meat != 3, 0)) -> BivariateRelationshipsData ggplot(BivariateRelationshipsData,
aes(x=as.factor(Beef.Brisket),
y=Sweetness)) +
geom_point(position = "jitter") 
BivariateRelationshipsData %>%
mutate(Fries=NA) %>%
mutate(Fries=replace(Fries, Favorite.Side==6, 1)) %>%
mutate(Fries=replace(Fries, Favorite.Side != 6, 0)) -> BivariateRelationshipsData{r} ggplot(BivariateRelationshipsData,
aes(x=as.factor(Fries),
y=Age)) + geom_point(position = “jitter”)
## Difference-of-Means Tests
You need to estimate two difference-of-means tests using the same two pairs of a continuous variable and a dichotomous variable as you did above in this subsection. You should again assume that you are interested in explaining variation in the continuous variable as a function of the dichotomous variable.
``` r
t.test(Sweetness ~ Beef.Brisket, data = BivariateRelationshipsData)##
## Welch Two Sample t-test
##
## data: Sweetness by Beef.Brisket
## t = -1.0205, df = 112.37, p-value = 0.3097
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## -0.3630392 0.1161945
## sample estimates:
## mean in group 0 mean in group 1
## 2.918831 3.042254t.test(Age ~ Fries, data = BivariateRelationshipsData)##
## Welch Two Sample t-test
##
## data: Age by Fries
## t = 6.222, df = 255.45, p-value = 1.998e-09
## alternative hypothesis: true difference in means between group 0 and group 1 is not equal to 0
## 95 percent confidence interval:
## 4.188636 8.067923
## sample estimates:
## mean in group 0 mean in group 1
## 27.43131 21.30303
# Relationships between Two Dichotomous Variables
You need to produce a pair of contingency tables and conduct a pair of $\chi^{2}$-tests in this section.
## Contingency Tables
You need to produce two contingency tables in this subsection. The first should be between the variables that identify whether a respondent is willing to drive a relatively long way for good BBQ and whether they prefer beef brisket over all other types of BBQ meat. The second contingency table should be between the variables that identify whether a respondent is willing to drive a relatively long way for good BBQ and whether or not they prefer french fries over other side dishes. BivariateRelationshipsData %>%
mutate(Long.Way=NA) %>%
mutate(Long.Way=replace(Long.Way, Age > mean(Minutes.Driving), 1)) %>%
mutate(Long.Way=replace(Long.Way, Age <= mean(Minutes.Driving), 0)) -> BivariateRelationshipsDataBivariateRelationshipsData %>%
tabyl(Beef.Brisket, Long.Way) %>%
adorn_title() ## Long.Way
## Beef.Brisket 0 1
## 0 258 50
## 1 60 11BivariateRelationshipsData %>%
tabyl(Fries, Long.Way) %>%
adorn_title()## Long.Way
## Fries 0 1
## 0 254 59
## 1 64 2BivariateRelationshipsData %>%
mutate(Fries.Label=NA) %>%
mutate(Fries.Label=replace(Fries.Label,Fries==1,"Favorite Side")) %>%
mutate(Fries.Label=replace(Fries.Label,Fries==0,"Not Favorite Side")) ## Observation Sex Age Hometown Favorite.Meat Favorite.Sauce Sweetness
## 1 2 2 18 2 2 7 4
## 2 3 1 20 7 2 4 3
## 3 5 1 22 1 4 1 3
## 4 6 1 44 7 5 6 3
## 5 7 2 22 2 2 1 3
## 6 8 2 20 2 5 2 3
## 7 9 2 21 1 1 1 2
## 8 10 2 21 4 1 6 4
## 9 11 1 21 2 1 1 3
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## 11 13 2 43 7 5 3 3
## 12 14 2 22 2 4 1 2
## 13 16 1 46 1 1 1 1
## 14 17 1 23 1 4 2 5
## 15 20 2 17 2 5 4 1
## 16 21 2 52 7 2 2 3
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## 23 28 2 27 1 1 1 3
## 24 30 2 32 1 1 1 2
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## 26 32 2 19 1 1 1 1
## 27 33 1 54 1 4 1 2
## 28 34 1 30 3 1 1 3
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## 30 48 1 21 1 3 2 4
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## 367 612 1 53 1 1 1 1
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## 369 628 2 24 1 1 1 1
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## 377 641 1 23 7 1 4 3
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## 379 646 2 20 2 2 6 3
## Favorite.Side Restaurant.City Restaurant.Name
## 1 4 Lexington NC Lexington BBQ
## 2 7 Greensboro NC Smokey Ribs
## 3 9 Durham NC City BBQ
## 4 9 Pigeon Forge TN Sticky Fingers
## 5 1 Salisbury NC The Smoke Pit
## 6 6 Charlotte NC Sonny's BBQ
## 7 7 Blowing Rock NC Pedalin Pig
## 8 9 Sumter SC Wards
## 9 9 Monroe NC Rock Store
## 10 9 Greenville SC Lewis BBQ
## 11 1 Greenville SC Smoke on the Water
## 12 1 Advance NC Snooks
## 13 7 Fayetteville NC Cape Fear BBQ
## 14 6 Monroe NC The Smoke Pit
## 15 6 Matthews NC City BBQ
## 16 3 Stallings NC Rock Store
## 17 9 Stallings NC Stalling Rockstore BBQ
## 18 4 Monroe NC The Smoke Pit
## 19 9 Indian Land SC 521 BBQ
## 20 2 Wake Forest NC Smithfield BBQ
## 21 3 Louisburg NC Johnnys bbq
## 22 3 Wilson NC Parker's BBQ
## 23 4 Lexington NC BBQ Center
## 24 4 Louisburg NC Johnnys BBQ
## 25 3 Wake Forest NC Smithfield BBQ
## 26 7 Kinston NC Kings BBQ
## 27 7 Kinston NC Kings BBQ
## 28 4 Boone NC Pedalin Pig
## 29 6 Boone NC Smithfield BBQ
## 30 8 Boone NC Smithfield BBQ
## 31 7 Charlotte NC Smithfield BBQ
## 32 4 Charlotte NC Smithfield BBQ
## 33 4 Memphis TN Rendezvous
## 34 4 Boone NC Pedalin Pig
## 35 6 Boone NC Pedalin Pig
## 36 1 Boone NC Pedalin Pig
## 37 6 Boone NC Pedalin Pig
## 38 6 Charlotte NC Pedalin Pig
## 39 4 Charlotte NC Midwood Smokehouse
## 40 8 Huntersville NC Midwood Smokehouse
## 41 2 Charlotte NC Midwood Smokehouse
## 42 6 Clemson SC Smokin Pig
## 43 6 Huntersville NC Midwood Smokehouse
## 44 4 Huntersville NC City BBQ
## 45 7 Holden Beach NC Simply BBQ
## 46 1 Kitty Hawk NC High Cotton
## 47 8 Huntersville NC Midwood Smokehouse
## 48 4 Mooresville NC Lancaster's BBQ
## 49 6 Lexington NC Lexington BBQ
## 50 4 Lexington NC Stamey's BBQ
## 51 4 Kernersville NC Clarks BBQ
## 52 7 Salisbury NC The Smoke Pit
## 53 3 Centreville VA Famous Dave's
## 54 4 Lexington NC BBQ Center
## 55 4 Lexington NC Speedy's
## 56 4 Winston Salem NC Camel City BBQ
## 57 6 Lexington NC BBQ Center
## 58 4 Boone NC Willie Brooks BBQ
## 59 4 Raleigh NC The Pit
## 60 4 Raleigh NC City BBQ
## 61 4 West Jefferson NC Smoky Mountain BBQ
## 62 2 Charlotte NC MOA Korean BBQ
## 63 3 West Jefferson NC Smokey Mountain
## 64 5 West Jefferson NC Smoky Mountain BBQ
## 65 7 Gastonia NC The Smoke Pit
## 66 9 Franklin Springs GA Bar H BBQ
## 67 1 Gastonia NC The Smoke Pit
## 68 1 Grand Island NE Dickies BBQ
## 69 6 Charlotte NC Midwood Smokehouse
## 70 4 Swannanoa NC Okie Dokies Smokehouse
## 71 9 Asheville NC Zaxbys
## 72 3 Lexington NC Lexington BBQ
## 73 2 Charlotte NC Midtown
## 74 6 Kernersville NC Smithfield BBQ
## 75 8 Charlotte NC 12 Bones
## 76 9 Charlotte NC Midtown
## 77 2 Black Mountain NC Okie Dokies Smokehouse
## 78 6 Manhattan KS Cox BBQ
## 79 4 Boone NC Pedalin Pig
## 80 6 Greensboro NC Stamey's BBQ
## 81 8 Whiteville NC Joe's BBQ
## 82 5 Charlotte NC Lets Meat KBBQ
## 83 2 Boone NC Pedalin Pig
## 84 6 Greensboro NC Stamey's BBQ
## 85 4 Charlottesville VA Mission BBQ
## 86 8 Elkin NC Rodeo
## 87 9 Goldsboro NC Wilbur's BBQ
## 88 4 Winston Salem NC Little Richard's BBQ
## 89 9 Durham NC Q Shack
## 90 8 Goldsboro NC Wilbur's BBQ
## 91 7 Memphis TN Rendezvous
## 92 4 Shelby NC Red Bridges BBQ
## 93 4 Winston Salem NC Little Richard's BBQ
## 94 6 Winston Salem NC Camel City BBQ
## 95 6 Boone NC Pedalin Pig
## 96 4 Lynchburg VA County Smoak
## 97 4 Greensboro NC Wendy’s
## 98 6 Winston Salem NC Camel City BBQ
## 99 6 Fayetteville NC Texas Roadhouse
## 100 4 New Bern NC Moores bbq
## 101 4 Austin TX Rudy's BBQ
## 102 2 Memphis TN Rendezvous
## 103 8 Wilmington NC Jackson's Big Oak
## 104 2 Wilmington NC Jackson's Big Oak
## 105 6 Fort Smith AR Neumeier's Rib Room
## 106 6 Winston Salem NC Camel City BBQ
## 107 3 Southport NC Southport Smokehouse
## 108 4 Lexington NC BBQ Center
## 109 6 New York City Mighty Quinn's BBQ
## 110 3 Hagerstown MD Mission BBQ
## 111 6 Christiansburg VA Mission BBQ
## 112 4 Troutman NC Randy's BBQ
## 113 3 Boone NC Howard Station
## 114 5 Asheville NC Luella's BBQ
## 115 4 Shelby NC Bridges BBQ
## 116 4 Smithfield NC Redneck BBQ
## 117 1 Durham NC Lets Eat Soul Food
## 118 9 Black Mountain NC Okie Dokies Smokehouse
## 119 3 Rutherford NC JD's Smokehouse
## 120 6 Asheville NC Chop Shop
## 121 9 Johnson City TN Southern Craft BBQ
## 122 4 Connelly Springs NC JD's Smokehouse
## 123 7 Valdese NC JD's Smokehouse
## 124 4 North Wilkesboro NC Smokehouse
## 125 5 Raleigh NC Smithfield BBQ
## 126 1 Salisbury NC The Smoke Pit
## 127 3 North Wilkesboro NC Smokehouse
## 128 6 Kill Devil Hills NC Pigman's BBQ
## 129 6 Manteo NC Carolina BBQ
## 130 9 Boone NC Pedalin Pig
## 131 8 Burnsville NC Pig N’ Grits
## 132 4 Boone NC Smoking Js BBQ Truck
## 133 1 Benson NC The Redneck BBQ Lab
## 134 2 Warner Robins GA Georgia Bobs
## 135 4 Mooresville NC Lancaster's BBQ
## 136 7 Columbia SC Maurice's Piggy Park
## 137 3 Columbia SC Southport Smokehouse
## 138 3 Leland NC Smithfield BBQ
## 139 9 Jamestown NC Black Powder
## 140 7 Memphis TN Commissary
## 141 5 Blowing Rock NC Woodlands BBQ
## 142 4 Raleigh NC City BBQ
## 143 2 Ayden NC Skylight Inn
## 144 3 Goldsboro NC Wilbur's BBQ
## 145 4 Blowing Rock NC Woodlands BBQ
## 146 3 Tampa FL The Brisket Shoppe
## 147 4 Winston Salem NC Prissy Polly's BBQ
## 148 4 High Point NC Lexington BBQ
## 149 1 Raleigh NC City BBQ
## 150 4 Boone NC Woodlands BBQ
## 151 4 Arapahoe NC Meat Week
## 152 6 Greenville NC B's BBQ
## 153 6 Lexington NC Lexington BBQ
## 154 1 Apex NC Scratch Kitchen and Tavern
## 155 9 Asheville NC Korean BBQ
## 156 5 Raleigh NC Cookout
## 157 6 Odessa TX Texas BBQ
## 158 4 Wendell NC Grillbillies
## 159 1 Fayetteville NC Mission BBQ
## 160 1 Boone NC Pedalin Pig
## 161 1 Lenoir NC JD's Smokehouse
## 162 5 Boone NC Pedalin Pig
## 163 4 Asheville NC Luella's BBQ
## 164 6 Austin TX Franklins BBQ
## 165 4 Shelby NC Bridges BBQ
## 166 3 Columbus OH City BBQ
## 167 9 Walterboro SC Dukes BBQ
## 168 6 Lenoir NC JD's Smokehouse
## 169 2 Boone NC Pedalin Pig
## 170 6 Charlotte NC Midwood Smokehouse
## 171 9 Brevard NC Hawg Wild
## 172 3 Concord NC The Smoke Pit
## 173 4 Greensboro NC Stamey's BBQ
## 174 2 Greensboro NC Black Powder
## 175 9 Boone NC Pedalin Pig
## 176 4 Havelock NC Smithfield BBQ
## 177 4 New York city Pelicana Chicken
## 178 7 High Point NC High Point Korean BBQ
## 179 1 Boone NC Pedalin Pig
## 180 4 Boone NC Pedalin Pig
## 181 3 Asheville NC 12 Bones
## 182 3 Winston Salem NC Little Richard's BBQ
## 183 1 Asheville NC Luella's BBQ
## 184 4 Johnson City TN Smokey Bones
## 185 3 Lexington NC Lexington BBQ
## 186 1 Lexington NC Lexington BBQ
## 187 2 Boone NC Woodlands BBQ
## 188 6 Shelby NC Honey Hog
## 189 7 Atlanta GA DAS BBQ
## 190 4 Denver NC Tex-A-Lina BBQ
## 191 6 Elizabethton TN Big Dans BBQ
## 192 6 North Augusta SC The Pot Smoker BBQ
## 193 1 Bristol TN Delta Blues BBQ
## 194 1 Brevard NC Hog Wild
## 195 3 Fort Worth TX Riscky's
## 196 6 Mount Airy NC 12 Bones
## 197 4 Huntersville NC Mac's Speed Shop
## 198 4 Blowing Rock NC Woodlands BBQ
## 199 4 Kernersville NC 66 grill
## 200 4 Holden Beach NC Simply BBQ
## 201 6 Kernersville NC Prissy Polly's BBQ
## 202 1 Mount Airy NC Little Richard's BBQ
## 203 9 Mount Airy NC Little Richard's BBQ
## 204 1 Black Mountain NC Phil's BBQ
## 205 4 Shelby NC Red Bridges BBQ
## 206 1 Black Mountain NC Phil's BBQ
## 207 4 Hickory NC Hannah's BBQ
## 208 4 Lenoir NC JD's Smokehouse
## 209 4 Mooresville NC Lancaster's BBQ
## 210 8 Charlotte NC Iron Dish
## 211 4 Gastonia NC The Smoke Pit
## 212 4 Denver NC Buffalo Shoals
## 213 6 Taylorsville NC Apple City BBQ
## 214 1 Tampa FL 4 Rivers
## 215 4 Charlotte NC Midwood Smokehouse
## 216 9 Banner Elk NC Pedalin Pig
## 217 8 Murphy NC Rib Country
## 218 4 Tampa FL Jazzy's
## 219 4 Gainesville FL 4 Rivers
## 220 4 Boone NC Pedalin Pig
## 221 4 Asheboro NC Henry James
## 222 1 Lexington NC BBQ Center
## 223 1 Jamestown NC Shake Shack
## 224 1 Kernersville NC Prissy Polly's BBQ
## 225 3 Asheboro NC Henry James
## 226 4 Asheboro NC Henry James
## 227 6 Wilson NC Parker's BBQ
## 228 4 Wilson NC Parker's BBQ
## 229 3 Ayden NC Skylight Inn
## 230 5 Mooresville NC Big Tinys bbq
## 231 2 Pensacola FL Hot Spot BBQ
## 232 7 Cleveland NC Keaton's BBQ
## 233 2 Wilson NC Parker's BBQ
## 234 6 Greenville NC Sam Jones BBQ
## 235 5 Goldsboro NC Causey Grills
## 236 4 Wilson NC Parker's BBQ
## 237 4 Fairbanks AK Big Daddies BBQ
## 238 2 Winston Salem NC Real Q
## 239 2 Statesville NC Carolina BBQ
## 240 4 Callahan FL Callahan BBQ
## 241 1 Winston Salem NC Camel City BBQ
## 242 5 Charlotte NC Mac's Speed Shop
## 243 1 Tampa FL 4 Rivers
## 244 4 Morganton NC Carolina Smokes BBQ Grill
## 245 6 Rutherford NC JD's Smokehouse
## 246 2 Valdese NC JD's Smokehouse
## 247 9 Boone NC Pedalin Pig
## 248 3 Ayden NC Skylight Inn
## 249 1 Newark NJ Fle
## 250 1 Knightdale NC Prime Bbq
## 251 4 Raleigh NC PNC
## 252 9 Raleigh NC Old Time BBQ
## 253 4 Carthage NC Pik N' Pig
## 254 4 Durham NC Lawrence BBQ
## 255 6 Raleigh NC City BBQ
## 256 4 Hilton Head SC One Hot Mamas
## 257 4 Charlotte NC Midwood Smokehouse
## 258 4 Wilson NC Parker's BBQ
## 259 6 Hickory NC Little Pigs BBQ
## 260 4 Raleigh NC The Pit
## 261 3 Raleigh NC Smithfield BBQ
## 262 7 Smithfield NC Smithfield BBQ
## 263 6 Dover DE Tender Bones
## 264 1 New Bern NC Moores BBQ
## 265 6 Lexington NC Speedy's
## 266 3 Greensboro NC City BBQ
## 267 2 Emerald Isle NC Red Oak
## 268 6 Greensboro NC Stamey's BBQ
## 269 6 Lexington NC Speedy's
## 270 1 Austin TX Valentina’s Tex Max BBQ
## 271 6 Richmond VA Buzz and Ned's
## 272 2 Asheville NC Luella's BBQ
## 273 1 Asheville NC Buxton Hall
## 274 4 Asheville NC Luella's BBQ
## 275 4 Asheville NC Luella's BBQ
## 276 4 Boone NC Pedalin Pig
## 277 9 Winston Salem NC Little Richard's BBQ
## 278 4 Asheville NC 12 Bones
## 279 7 Asheville NC Moes
## 280 7 Asheville NC Luella's BBQ
## 281 6 Winston Salem NC Camel City BBQ
## 282 1 Winston Salem NC Richard's
## 283 2 Greenville SC Lewis BBQ
## 284 3 Pawleys Island SC Hog Heaven
## 285 6 Cary NC Remington Grill
## 286 9 Charleston SC Home Team BBQ
## 287 8 Blowing Rock NC Woodlands BBQ
## 288 5 Saluda NC Green River BBQ
## 289 6 Lexington NC Lexington BBQ
## 290 4 Lexington NC Lexington BBQ
## 291 1 Salisbury NC College BBQ
## 292 6 Nashville NC Bar-B-Cutie
## 293 3 Charlotte NC Noble Smoke
## 294 9 Lexington NC Lexington BBQ
## 295 6 Concord NC The Smoke Pit
## 296 4 Salisbury NC Hendrix's
## 297 4 Shelby NC Bridges BBQ
## 298 4 Shelby NC Bridges BBQ
## 299 1 Charlotte NC City BBQ
## 300 4 Lexington NC Blue Door Smokehouse
## 301 1 Charlotte NC Ray Nathan's
## 302 7 Boone NC Pedalin Pig
## 303 3 Belmont NC Ray Nathan's
## 304 1 Mountain City TN Mikes BBQ
## 305 1 Greensboro NC Mac's Speed Shop
## 306 4 Flat Rock NC Hubba Hubba Smokehouse
## 307 9 Jamestown NC Black Powder
## 308 3 China Grove NC Porky's BBQ
## 309 1 Parker CO Hickory House
## 310 9 Boone NC Pedalin Pig
## 311 2 Greensboro NC Stamey's BBQ
## 312 1 Greensboro NC Mac's Speed Shop
## 313 4 King NC Stratford BBQ
## 314 2 Winston Salem NC Camel City BBQ
## 315 6 Charleston SC Swig & Swine
## 316 9 St Louis MO Salt and Smoke
## 317 1 Southport NC Smokehouse
## 318 4 Charlotte NC Midwood Smokehouse
## 319 3 Lexington SC Lexington BBQ
## 320 6 Charlotte NC Flippolos
## 321 6 Charlotte NC Bridges BBQ
## 322 7 Shelby NC Bridges BBQ
## 323 1 Tampa FL 4 Rivers
## 324 1 Raleigh NC Shane's Rib Shack
## 325 2 Boone NC Woodies BBQ
## 326 1 Peoria IL Jim's
## 327 3 Greensboro NC Stamey's BBQ
## 328 4 Greensboro NC Stamey's BBQ
## 329 8 Charlotte NC Midwood Smokehouse
## 330 1 Cary NC Big Mikes BBQ
## 331 2 Salisbury NC Gary’s
## 332 1 Clemson SC Smokin Pig
## 333 6 Charlotte NC Midwood Smokehouse
## 334 4 Lexington NC Noble Meats
## 335 2 Gastonia NC Black's BBQ
## 336 9 St Louis MO Pappys
## 337 3 Lexington NC Lexington BBQ
## 338 3 King NC Stratford BBQ
## 339 3 Mount Airy NC Little Richard's BBQ
## 340 6 Wilson NC Parker's BBQ
## 341 4 Austin TX Interstellar BBQ
## 342 2 Banner Elk NC Pedalin Pig
## 343 1 Charlotte NC Mac's Speed Shop
## 344 9 Austin TX Interstellar BBQ
## 345 4 Memphis TN Rendezvous
## 346 8 Charlotte NC Midwood Smokehouse
## 347 5 Austin TX County Line
## 348 9 Austin TX Interstellar BBQ
## 349 1 Boone NC Pedalin Pig
## 350 6 Charlotte NC Sonny's BBQ
## 351 3 Waynesville NC Fat Buddies
## 352 1 Boone NC Pedalin Pig
## 353 6 Charleston SC Home Team BBQ
## 354 4 Pittsboro NC Allen & Sons
## 355 4 Siler City NC The Broken Spit
## 356 3 Siler City NC Broken Spit
## 357 3 Carthage NC Pik N' Pig
## 358 7 Whiteville NC Joe's BBQ
## 359 1 Parker CO Hickory House
## 360 3 Kinston NC Kings BBQ
## 361 2 Lexington NC Lexington BBQ
## 362 6 Raleigh NC Sam Jones BBQ
## 363 4 Raleigh NC City BBQ
## 364 5 Kinston NC Kings BBQ
## 365 2 Smithfield NC Smithfield BBQ
## 366 4 Greenville NC B's BBQ
## 367 2 Raleigh NC The Pit
## 368 6 Wilmington NC Jackson's Big Oak
## 369 9 Wilmington NC Jackson's Big Oak
## 370 4 Angier NC Stephenson's BBQ
## 371 2 Wilson NC Parker's BBQ
## 372 4 Smithfield NC Smithfield BBQ
## 373 2 Wilmington NC Jackson's Big Oak
## 374 6 Charlotte NC Midwood Smokehouse
## 375 9 Asheville NC Daddy Mac’s
## 376 6 Cary NC Red Robin
## 377 9 Raleigh NC Soeul Korean BBQ
## 378 2 Marietta GA Williams Brothers
## 379 6 Charlotte NC Midwood Smokehouse
## Minutes.Driving Sandwich.Price Dinner.Plate.Price Ribs.Price Beef.Brisket
## 1 20 12 25 25 0
## 2 60 10 20 25 0
## 3 20 12 16 18 0
## 4 60 10 15 18 0
## 5 40 15 25 35 0
## 6 20 16 22 22 0
## 7 15 14 16 22 0
## 8 20 12 15 19 0
## 9 45 10 15 25 0
## 10 30 15 18 25 0
## 11 45 12 18 24 0
## 12 60 15 20 20 0
## 13 120 20 40 30 0
## 14 60 15 25 25 0
## 15 30 15 20 30 0
## 16 20 15 20 25 0
## 17 25 11 16 20 0
## 18 15 7 10 14 0
## 19 30 10 15 18 0
## 20 15 10 15 20 0
## 21 60 12 20 1 0
## 22 45 9 15 20 0
## 23 20 11 13 15 0
## 24 60 12 18 1 0
## 25 60 6 15 20 0
## 26 30 20 30 20 0
## 27 45 15 25 10 0
## 28 30 12 15 20 0
## 29 20 8 14 15 0
## 30 30 7 15 15 1
## 31 30 9 12 16 1
## 32 30 6 12 14 1
## 33 30 7 10 14 1
## 34 45 6 17 12 0
## 35 60 5 19 13 0
## 36 15 10 14 20 0
## 37 30 15 15 10 0
## 38 20 10 20 10 0
## 39 25 15 18 20 0
## 40 15 20 25 30 1
## 41 15 15 20 20 0
## 42 20 20 24 24 0
## 43 20 20 25 0 0
## 44 20 15 20 35 0
## 45 30 10 15 25 1
## 46 20 16 20 25 0
## 47 20 15 25 50 0
## 48 30 10 12 20 0
## 49 1 8 11 16 0
## 50 30 8 10 15 0
## 51 60 50 50 50 1
## 52 25 10 15 20 0
## 53 20 20 30 35 0
## 54 30 15 18 20 0
## 55 10 15 20 15 0
## 56 60 8 10 20 0
## 57 30 10 16 20 0
## 58 15 10 15 20 0
## 59 45 20 30 35 0
## 60 15 20 30 35 0
## 61 3 3 3 3 0
## 62 120 3 5 5 0
## 63 45 12 15 18 0
## 64 10 3 7 10 1
## 65 60 13 16 17 0
## 66 72 40 40 50 0
## 67 60 15 20 25 0
## 68 120 14 20 25 0
## 69 25 15 20 30 0
## 70 15 12 20 25 0
## 71 10 13 16 18 0
## 72 90 5 17 20 0
## 73 30 14 16 19 1
## 74 15 12 13 15 0
## 75 20 10 12 0 0
## 76 30 20 25 30 0
## 77 15 11 15 25 0
## 78 15 13 15 25 1
## 79 10 10 15 20 0
## 80 20 15 15 30 0
## 81 30 13 18 30 0
## 82 25 10 17 23 0
## 83 17 9 15 30 0
## 84 30 13 20 35 1
## 85 15 10 14 25 0
## 86 20 9 14 19 0
## 87 180 13 15 20 1
## 88 45 20 25 30 1
## 89 30 15 18 25 0
## 90 60 15 20 25 0
## 91 60 13 19 22 1
## 92 111 15 18 25 0
## 93 20 6 9 14 0
## 94 30 20 30 0 0
## 95 60 25 30 20 0
## 96 30 12 16 20 1
## 97 10 14 12 10 0
## 98 30 13 15 15 0
## 99 20 20 25 20 0
## 100 30 13 13 15 0
## 101 20 10 12 15 1
## 102 30 16 18 26 0
## 103 20 15 18 22 1
## 104 30 15 21 25 0
## 105 40 20 20 28 0
## 106 10 15 20 25 0
## 107 120 18 25 30 0
## 108 30 10 17 22 0
## 109 1 10 20 30 0
## 110 60 15 20 30 0
## 111 15 15 25 25 0
## 112 30 12 20 30 0
## 113 15 15 25 35 0
## 114 25 10 15 20 0
## 115 60 15 20 25 0
## 116 30 14 20 18 0
## 117 20 1 1 28 0
## 118 20 10 20 25 0
## 119 15 9 12 15 0
## 120 37 25 36 39 1
## 121 90 20 45 60 1
## 122 30 12 15 20 1
## 123 45 15 20 25 0
## 124 45 12 15 15 0
## 125 60 12 15 25 0
## 126 120 15 16 20 0
## 127 30 8 12 12 0
## 128 5 7 12 14 0
## 129 30 15 20 30 0
## 130 30 13 18 23 1
## 131 60 15 20 40 1
## 132 5 8 10 15 0
## 133 60 15 25 25 0
## 134 60 12 20 20 0
## 135 30 15 20 25 0
## 136 45 12 15 17 0
## 137 30 15 15 17 0
## 138 30 10 20 20 0
## 139 30 10 13 15 0
## 140 120 12 16 18 1
## 141 30 11 14 12 1
## 142 60 10 12 12 0
## 143 60 25 30 25 0
## 144 60 16 20 25 0
## 145 15 15 35 30 0
## 146 30 15 20 25 0
## 147 30 15 17 17 0
## 148 30 12 15 15 0
## 149 10 20 28 25 0
## 150 30 15 17 18 1
## 151 30 8 14 20 0
## 152 45 10 15 20 0
## 153 25 10 14 16 0
## 154 30 15 15 20 0
## 155 10 0 0 0 0
## 156 15 4 12 6 0
## 157 60 10 12 15 0
## 158 45 15 20 15 1
## 159 15 18 21 25 0
## 160 40 20 25 25 0
## 161 45 12 12 10 0
## 162 20 15 30 30 0
## 163 25 9 14 10 0
## 164 120 20 30 40 1
## 165 60 25 25 50 0
## 166 45 25 60 75 0
## 167 40 10 17 20 0
## 168 25 15 15 25 0
## 169 60 15 25 25 0
## 170 60 20 23 25 0
## 171 60 14 17 22 0
## 172 45 15 25 50 0
## 173 25 16 20 30 1
## 174 10 15 22 24 0
## 175 20 12 18 18 0
## 176 20 12 18 26 0
## 177 20 25 50 60 0
## 178 5 15 15 15 0
## 179 45 12 15 20 1
## 180 20 12 15 20 1
## 181 30 10 14 16 0
## 182 60 14 16 24 0
## 183 45 16 20 30 1
## 184 30 12 14 22 0
## 185 10 10 15 18 0
## 186 30 10 15 20 0
## 187 20 12 15 20 0
## 188 30 12 17 22 0
## 189 20 8 13 18 0
## 190 20 12 15 25 1
## 191 30 12 20 25 0
## 192 30 20 20 35 0
## 193 60 12 15 20 0
## 194 60 9 16 22 0
## 195 30 10 16 21 0
## 196 60 20 30 45 0
## 197 45 12 15 20 0
## 198 60 14 18 23 0
## 199 40 6 11 40 0
## 200 30 11 16 24 0
## 201 60 10 15 15 0
## 202 45 15 20 25 0
## 203 30 15 20 25 0
## 204 60 10 5 25 0
## 205 60 20 25 20 0
## 206 60 15 20 25 0
## 207 15 15 20 30 0
## 208 60 13 15 23 1
## 209 30 12 14 22 0
## 210 60 10 14 20 1
## 211 25 15 15 18 0
## 212 25 10 16 25 0
## 213 5 30 35 25 0
## 214 30 15 15 13 0
## 215 22 20 30 20 0
## 216 30 12 18 35 0
## 217 20 12 15 15 0
## 218 180 15 25 35 0
## 219 30 12 15 20 0
## 220 15 20 30 0 0
## 221 30 16 16 17 0
## 222 45 15 22 60 0
## 223 24 3 4 5 0
## 224 20 13 16 20 0
## 225 45 17 17 50 0
## 226 20 15 16 17 0
## 227 10 10 15 15 0
## 228 45 10 15 20 0
## 229 60 10 15 15 0
## 230 25 15 25 30 0
## 231 20 10 15 20 0
## 232 45 15 25 30 0
## 233 30 12 14 14 0
## 234 45 10 12 15 0
## 235 30 15 18 22 1
## 236 20 10 15 25 0
## 237 45 10 13 20 0
## 238 1 7 9 12 0
## 239 20 12 15 20 1
## 240 430 15 25 30 0
## 241 30 9 15 25 0
## 242 20 10 14 25 0
## 243 45 12 15 20 0
## 244 5 12 28 32 0
## 245 30 10 15 0 0
## 246 25 22 25 30 0
## 247 20 14 17 18 0
## 248 30 12 15 30 0
## 249 30 10 22 25 1
## 250 60 10 15 25 1
## 251 25 10 15 17 0
## 252 40 14 16 14 0
## 253 200 12 16 18 1
## 254 45 16 20 35 0
## 255 30 12 20 18 1
## 256 30 18 24 24 0
## 257 45 20 35 45 0
## 258 60 15 25 40 0
## 259 30 15 20 30 1
## 260 40 17 19 25 0
## 261 10 10 15 25 0
## 262 20 10 15 25 0
## 263 15 10 20 25 1
## 264 45 12 16 20 0
## 265 30 10 20 30 1
## 266 45 0 0 30 1
## 267 20 9 15 17 0
## 268 30 13 15 30 0
## 269 30 15 30 40 1
## 270 30 10 12 20 1
## 271 30 9 13 16 0
## 272 30 15 20 25 0
## 273 45 17 20 30 0
## 274 20 20 22 22 0
## 275 10 15 20 20 0
## 276 30 15 17 22 1
## 277 25 7 11 14 0
## 278 25 10 15 18 0
## 279 20 15 15 15 0
## 280 30 15 20 25 0
## 281 45 16 25 30 0
## 282 30 10 15 20 0
## 283 60 14 16 25 1
## 284 60 30 40 50 0
## 285 10 10 15 20 0
## 286 30 14 20 25 0
## 287 20 15 15 15 0
## 288 40 15 20 30 0
## 289 30 15 20 25 0
## 290 15 10 12 15 0
## 291 60 15 20 25 1
## 292 20 15 20 23 0
## 293 30 13 16 25 1
## 294 45 10 18 25 0
## 295 20 10 15 20 0
## 296 15 12 15 18 1
## 297 90 10 15 25 0
## 298 60 10 15 20 0
## 299 20 15 15 15 0
## 300 90 40 55 65 1
## 301 60 10 15 28 0
## 302 45 10 12 15 0
## 303 30 15 20 30 0
## 304 90 16 22 28 0
## 305 40 15 20 15 1
## 306 20 6 8 12 0
## 307 120 20 25 30 0
## 308 25 11 15 18 0
## 309 120 35 35 35 1
## 310 30 17 22 25 1
## 311 40 17 14 15 0
## 312 20 18 20 22 0
## 313 15 20 30 35 1
## 314 120 12 16 20 0
## 315 30 30 40 45 0
## 316 30 15 25 30 0
## 317 30 8 12 25 0
## 318 20 22 30 20 0
## 319 60 8 12 12 0
## 320 20 6 15 25 0
## 321 20 20 20 20 0
## 322 30 14 18 15 0
## 323 30 13 15 20 0
## 324 40 10 16 20 0
## 325 30 12 16 20 0
## 326 0 0 0 0 0
## 327 25 9 10 21 0
## 328 30 10 20 24 0
## 329 30 15 25 35 0
## 330 15 14 18 18 0
## 331 15 10 12 15 0
## 332 45 15 25 35 1
## 333 45 20 20 25 0
## 334 20 15 15 25 0
## 335 20 15 20 30 0
## 336 15 10 15 20 0
## 337 120 8 12 19 0
## 338 60 12 15 20 0
## 339 30 8 13 15 0
## 340 10 10 15 15 0
## 341 45 14 22 28 1
## 342 40 12 16 35 0
## 343 20 15 20 25 1
## 344 45 15 18 18 1
## 345 60 15 20 30 0
## 346 180 18 22 22 1
## 347 60 17 25 40 0
## 348 30 12 16 20 1
## 349 45 15 15 20 1
## 350 30 20 26 35 1
## 351 60 22 30 32 1
## 352 30 15 18 25 0
## 353 20 15 20 25 0
## 354 40 15 25 40 1
## 355 45 12 15 20 0
## 356 15 12 15 15 1
## 357 60 12 12 10 0
## 358 60 15 20 30 0
## 359 120 20 27 27 1
## 360 120 12 20 40 0
## 361 20 10 12 15 0
## 362 20 20 25 40 0
## 363 30 8 13 30 0
## 364 30 10 12 14 1
## 365 30 10 15 20 0
## 366 30 13 13 17 0
## 367 120 20 20 30 0
## 368 20 13 11 15 1
## 369 20 10 15 20 0
## 370 20 10 16 20 0
## 371 30 15 20 35 0
## 372 30 20 25 30 0
## 373 45 15 25 35 0
## 374 60 15 20 35 0
## 375 30 15 17 20 0
## 376 20 10 15 15 0
## 377 30 15 20 0 0
## 378 90 11 15 15 1
## 379 20 10 15 18 0
## Fries Long.Way Fries.Label
## 1 0 0 Not Favorite Side
## 2 0 0 Not Favorite Side
## 3 0 0 Not Favorite Side
## 4 0 1 Not Favorite Side
## 5 0 0 Not Favorite Side
## 6 1 0 Favorite Side
## 7 0 0 Not Favorite Side
## 8 0 0 Not Favorite Side
## 9 0 0 Not Favorite Side
## 10 0 0 Not Favorite Side
## 11 0 1 Not Favorite Side
## 12 0 0 Not Favorite Side
## 13 0 1 Not Favorite Side
## 14 1 0 Favorite Side
## 15 1 0 Favorite Side
## 16 0 1 Not Favorite Side
## 17 0 0 Not Favorite Side
## 18 0 1 Not Favorite Side
## 19 0 0 Not Favorite Side
## 20 0 0 Not Favorite Side
## 21 0 0 Not Favorite Side
## 22 0 1 Not Favorite Side
## 23 0 0 Not Favorite Side
## 24 0 0 Not Favorite Side
## 25 0 1 Not Favorite Side
## 26 0 0 Not Favorite Side
## 27 0 1 Not Favorite Side
## 28 0 0 Not Favorite Side
## 29 1 0 Favorite Side
## 30 0 0 Not Favorite Side
## 31 0 0 Not Favorite Side
## 32 0 0 Not Favorite Side
## 33 0 0 Not Favorite Side
## 34 0 0 Not Favorite Side
## 35 1 0 Favorite Side
## 36 0 0 Not Favorite Side
## 37 1 0 Favorite Side
## 38 1 0 Favorite Side
## 39 0 0 Not Favorite Side
## 40 0 1 Not Favorite Side
## 41 0 0 Not Favorite Side
## 42 1 0 Favorite Side
## 43 1 0 Favorite Side
## 44 0 0 Not Favorite Side
## 45 0 0 Not Favorite Side
## 46 0 0 Not Favorite Side
## 47 0 1 Not Favorite Side
## 48 0 0 Not Favorite Side
## 49 1 0 Favorite Side
## 50 0 0 Not Favorite Side
## 51 0 0 Not Favorite Side
## 52 0 0 Not Favorite Side
## 53 0 0 Not Favorite Side
## 54 0 0 Not Favorite Side
## 55 0 0 Not Favorite Side
## 56 0 0 Not Favorite Side
## 57 1 0 Favorite Side
## 58 0 0 Not Favorite Side
## 59 0 0 Not Favorite Side
## 60 0 0 Not Favorite Side
## 61 0 0 Not Favorite Side
## 62 0 0 Not Favorite Side
## 63 0 1 Not Favorite Side
## 64 0 0 Not Favorite Side
## 65 0 0 Not Favorite Side
## 66 0 0 Not Favorite Side
## 67 0 1 Not Favorite Side
## 68 0 0 Not Favorite Side
## 69 1 0 Favorite Side
## 70 0 0 Not Favorite Side
## 71 0 0 Not Favorite Side
## 72 0 1 Not Favorite Side
## 73 0 1 Not Favorite Side
## 74 1 0 Favorite Side
## 75 0 1 Not Favorite Side
## 76 0 1 Not Favorite Side
## 77 0 0 Not Favorite Side
## 78 1 0 Favorite Side
## 79 0 0 Not Favorite Side
## 80 1 0 Favorite Side
## 81 0 1 Not Favorite Side
## 82 0 0 Not Favorite Side
## 83 0 0 Not Favorite Side
## 84 1 0 Favorite Side
## 85 0 0 Not Favorite Side
## 86 0 0 Not Favorite Side
## 87 0 0 Not Favorite Side
## 88 0 0 Not Favorite Side
## 89 0 0 Not Favorite Side
## 90 0 0 Not Favorite Side
## 91 0 0 Not Favorite Side
## 92 0 0 Not Favorite Side
## 93 0 0 Not Favorite Side
## 94 1 0 Favorite Side
## 95 1 0 Favorite Side
## 96 0 0 Not Favorite Side
## 97 0 0 Not Favorite Side
## 98 1 0 Favorite Side
## 99 1 0 Favorite Side
## 100 0 0 Not Favorite Side
## 101 0 0 Not Favorite Side
## 102 0 0 Not Favorite Side
## 103 0 0 Not Favorite Side
## 104 0 0 Not Favorite Side
## 105 1 0 Favorite Side
## 106 1 0 Favorite Side
## 107 0 0 Not Favorite Side
## 108 0 0 Not Favorite Side
## 109 1 0 Favorite Side
## 110 0 0 Not Favorite Side
## 111 1 0 Favorite Side
## 112 0 0 Not Favorite Side
## 113 0 0 Not Favorite Side
## 114 0 0 Not Favorite Side
## 115 0 0 Not Favorite Side
## 116 0 0 Not Favorite Side
## 117 0 0 Not Favorite Side
## 118 0 0 Not Favorite Side
## 119 0 1 Not Favorite Side
## 120 1 1 Favorite Side
## 121 0 0 Not Favorite Side
## 122 0 0 Not Favorite Side
## 123 0 0 Not Favorite Side
## 124 0 1 Not Favorite Side
## 125 0 0 Not Favorite Side
## 126 0 0 Not Favorite Side
## 127 0 1 Not Favorite Side
## 128 1 0 Favorite Side
## 129 1 0 Favorite Side
## 130 0 0 Not Favorite Side
## 131 0 0 Not Favorite Side
## 132 0 0 Not Favorite Side
## 133 0 0 Not Favorite Side
## 134 0 1 Not Favorite Side
## 135 0 0 Not Favorite Side
## 136 0 1 Not Favorite Side
## 137 0 0 Not Favorite Side
## 138 0 0 Not Favorite Side
## 139 0 0 Not Favorite Side
## 140 0 0 Not Favorite Side
## 141 0 0 Not Favorite Side
## 142 0 0 Not Favorite Side
## 143 0 0 Not Favorite Side
## 144 0 0 Not Favorite Side
## 145 0 0 Not Favorite Side
## 146 0 0 Not Favorite Side
## 147 0 0 Not Favorite Side
## 148 0 0 Not Favorite Side
## 149 0 0 Not Favorite Side
## 150 0 0 Not Favorite Side
## 151 0 0 Not Favorite Side
## 152 1 0 Favorite Side
## 153 1 0 Favorite Side
## 154 0 0 Not Favorite Side
## 155 0 0 Not Favorite Side
## 156 0 0 Not Favorite Side
## 157 1 0 Favorite Side
## 158 0 0 Not Favorite Side
## 159 0 0 Not Favorite Side
## 160 0 0 Not Favorite Side
## 161 0 0 Not Favorite Side
## 162 0 0 Not Favorite Side
## 163 0 0 Not Favorite Side
## 164 1 0 Favorite Side
## 165 0 0 Not Favorite Side
## 166 0 0 Not Favorite Side
## 167 0 0 Not Favorite Side
## 168 1 0 Favorite Side
## 169 0 0 Not Favorite Side
## 170 1 0 Favorite Side
## 171 0 0 Not Favorite Side
## 172 0 0 Not Favorite Side
## 173 0 0 Not Favorite Side
## 174 0 0 Not Favorite Side
## 175 0 0 Not Favorite Side
## 176 0 0 Not Favorite Side
## 177 0 0 Not Favorite Side
## 178 0 0 Not Favorite Side
## 179 0 0 Not Favorite Side
## 180 0 0 Not Favorite Side
## 181 0 1 Not Favorite Side
## 182 0 1 Not Favorite Side
## 183 0 1 Not Favorite Side
## 184 0 0 Not Favorite Side
## 185 0 1 Not Favorite Side
## 186 0 0 Not Favorite Side
## 187 0 0 Not Favorite Side
## 188 1 0 Favorite Side
## 189 0 0 Not Favorite Side
## 190 0 0 Not Favorite Side
## 191 1 0 Favorite Side
## 192 1 0 Favorite Side
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## 194 0 1 Not Favorite Side
## 195 0 1 Not Favorite Side
## 196 1 0 Favorite Side
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## 198 0 0 Not Favorite Side
## 199 0 0 Not Favorite Side
## 200 0 0 Not Favorite Side
## 201 1 0 Favorite Side
## 202 0 1 Not Favorite Side
## 203 0 1 Not Favorite Side
## 204 0 0 Not Favorite Side
## 205 0 0 Not Favorite Side
## 206 0 1 Not Favorite Side
## 207 0 0 Not Favorite Side
## 208 0 0 Not Favorite Side
## 209 0 1 Not Favorite Side
## 210 0 0 Not Favorite Side
## 211 0 0 Not Favorite Side
## 212 0 0 Not Favorite Side
## 213 1 0 Favorite Side
## 214 0 0 Not Favorite Side
## 215 0 0 Not Favorite Side
## 216 0 0 Not Favorite Side
## 217 0 0 Not Favorite Side
## 218 0 1 Not Favorite Side
## 219 0 1 Not Favorite Side
## 220 0 0 Not Favorite Side
## 221 0 0 Not Favorite Side
## 222 0 0 Not Favorite Side
## 223 0 0 Not Favorite Side
## 224 0 0 Not Favorite Side
## 225 0 0 Not Favorite Side
## 226 0 0 Not Favorite Side
## 227 1 0 Favorite Side
## 228 0 1 Not Favorite Side
## 229 0 1 Not Favorite Side
## 230 0 0 Not Favorite Side
## 231 0 0 Not Favorite Side
## 232 0 0 Not Favorite Side
## 233 0 0 Not Favorite Side
## 234 1 0 Favorite Side
## 235 0 0 Not Favorite Side
## 236 0 0 Not Favorite Side
## 237 0 0 Not Favorite Side
## 238 0 0 Not Favorite Side
## 239 0 0 Not Favorite Side
## 240 0 0 Not Favorite Side
## 241 0 0 Not Favorite Side
## 242 0 0 Not Favorite Side
## 243 0 0 Not Favorite Side
## 244 0 0 Not Favorite Side
## 245 1 0 Favorite Side
## 246 0 0 Not Favorite Side
## 247 0 0 Not Favorite Side
## 248 0 0 Not Favorite Side
## 249 0 1 Not Favorite Side
## 250 0 1 Not Favorite Side
## 251 0 0 Not Favorite Side
## 252 0 0 Not Favorite Side
## 253 0 0 Not Favorite Side
## 254 0 0 Not Favorite Side
## 255 1 0 Favorite Side
## 256 0 0 Not Favorite Side
## 257 0 0 Not Favorite Side
## 258 0 0 Not Favorite Side
## 259 1 0 Favorite Side
## 260 0 0 Not Favorite Side
## 261 0 1 Not Favorite Side
## 262 0 1 Not Favorite Side
## 263 1 0 Favorite Side
## 264 0 0 Not Favorite Side
## 265 1 0 Favorite Side
## 266 0 0 Not Favorite Side
## 267 0 0 Not Favorite Side
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## 269 1 1 Favorite Side
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## 272 0 0 Not Favorite Side
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## 274 0 1 Not Favorite Side
## 275 0 0 Not Favorite Side
## 276 0 0 Not Favorite Side
## 277 0 0 Not Favorite Side
## 278 0 0 Not Favorite Side
## 279 0 1 Not Favorite Side
## 280 0 1 Not Favorite Side
## 281 1 0 Favorite Side
## 282 0 1 Not Favorite Side
## 283 0 0 Not Favorite Side
## 284 0 0 Not Favorite Side
## 285 1 0 Favorite Side
## 286 0 0 Not Favorite Side
## 287 0 0 Not Favorite Side
## 288 0 0 Not Favorite Side
## 289 1 0 Favorite Side
## 290 0 0 Not Favorite Side
## 291 0 0 Not Favorite Side
## 292 1 0 Favorite Side
## 293 0 0 Not Favorite Side
## 294 0 1 Not Favorite Side
## 295 1 0 Favorite Side
## 296 0 0 Not Favorite Side
## 297 0 0 Not Favorite Side
## 298 0 0 Not Favorite Side
## 299 0 0 Not Favorite Side
## 300 0 0 Not Favorite Side
## 301 0 0 Not Favorite Side
## 302 0 0 Not Favorite Side
## 303 0 0 Not Favorite Side
## 304 0 0 Not Favorite Side
## 305 0 0 Not Favorite Side
## 306 0 0 Not Favorite Side
## 307 0 0 Not Favorite Side
## 308 0 0 Not Favorite Side
## 309 0 0 Not Favorite Side
## 310 0 0 Not Favorite Side
## 311 0 0 Not Favorite Side
## 312 0 0 Not Favorite Side
## 313 0 0 Not Favorite Side
## 314 0 0 Not Favorite Side
## 315 1 0 Favorite Side
## 316 0 0 Not Favorite Side
## 317 0 0 Not Favorite Side
## 318 0 0 Not Favorite Side
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## 321 1 0 Favorite Side
## 322 0 1 Not Favorite Side
## 323 0 0 Not Favorite Side
## 324 0 0 Not Favorite Side
## 325 0 0 Not Favorite Side
## 326 0 1 Not Favorite Side
## 327 0 0 Not Favorite Side
## 328 0 0 Not Favorite Side
## 329 0 0 Not Favorite Side
## 330 0 0 Not Favorite Side
## 331 0 0 Not Favorite Side
## 332 0 0 Not Favorite Side
## 333 1 0 Favorite Side
## 334 0 0 Not Favorite Side
## 335 0 0 Not Favorite Side
## 336 0 0 Not Favorite Side
## 337 0 1 Not Favorite Side
## 338 0 1 Not Favorite Side
## 339 0 1 Not Favorite Side
## 340 1 0 Favorite Side
## 341 0 0 Not Favorite Side
## 342 0 0 Not Favorite Side
## 343 0 0 Not Favorite Side
## 344 0 1 Not Favorite Side
## 345 0 0 Not Favorite Side
## 346 0 1 Not Favorite Side
## 347 0 0 Not Favorite Side
## 348 0 1 Not Favorite Side
## 349 0 0 Not Favorite Side
## 350 1 0 Favorite Side
## 351 0 0 Not Favorite Side
## 352 0 0 Not Favorite Side
## 353 1 0 Favorite Side
## 354 0 0 Not Favorite Side
## 355 0 0 Not Favorite Side
## 356 0 0 Not Favorite Side
## 357 0 0 Not Favorite Side
## 358 0 0 Not Favorite Side
## 359 0 0 Not Favorite Side
## 360 0 0 Not Favorite Side
## 361 0 0 Not Favorite Side
## 362 1 0 Favorite Side
## 363 0 0 Not Favorite Side
## 364 0 0 Not Favorite Side
## 365 0 1 Not Favorite Side
## 366 0 0 Not Favorite Side
## 367 0 1 Not Favorite Side
## 368 1 0 Favorite Side
## 369 0 0 Not Favorite Side
## 370 0 0 Not Favorite Side
## 371 0 1 Not Favorite Side
## 372 0 0 Not Favorite Side
## 373 0 1 Not Favorite Side
## 374 1 0 Favorite Side
## 375 0 0 Not Favorite Side
## 376 1 0 Favorite Side
## 377 0 0 Not Favorite Side
## 378 0 0 Not Favorite Side
## 379 1 0 Favorite SideBivariateRelationshipsData %>%
mutate(Beef.Brisket.Label=NA) %>%
mutate(Beef.Brisket.Label=replace(Beef.Brisket.Label,Beef.Brisket==1,"Favorite Meat")) %>%
mutate(Beef.Brisket.Label=replace(Beef.Brisket.Label,Beef.Brisket==0,"Not Favorite Meat")) ->BivariateRelationshipsData\(\chi^{2}\)-tests
You need to conduct two \(\chi^{2}\)-tests using the same two pairs of dichotomous variables as you did above in this subsection. You should assume you are trying to explain whether a respondent is willing to drive longer for good BBQ than average as a function of the other two dichotomous variables. ``
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