{"id":2189,"date":"2022-01-27T02:21:52","date_gmt":"2022-01-27T02:21:52","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/?post_type=chapter&p=2189"},"modified":"2022-02-10T00:49:26","modified_gmt":"2022-02-10T00:49:26","slug":"17c","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/chapter\/17c\/","title":{"raw":"17C","rendered":"17C"},"content":{"raw":"
\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Variable name<\/strong><\/td>\r\nDefinition<\/strong><\/td>\r\n<\/tr>\r\n
competitorname<\/em><\/td>\r\nThe name of the Halloween candy<\/td>\r\n<\/tr>\r\n
chocolate<\/em><\/td>\r\nDoes it contain chocolate?<\/td>\r\n<\/tr>\r\n
fruity<\/em><\/td>\r\nIs it fruit flavored?<\/td>\r\n<\/tr>\r\n
caramel<\/em><\/td>\r\nIs there caramel in the candy?<\/td>\r\n<\/tr>\r\n
peanutyalmondy<\/em><\/td>\r\nDoes it contain peanuts, peanut butter, or almonds?<\/td>\r\n<\/tr>\r\n
nougat<\/em><\/td>\r\nDoes it contain nougat?<\/td>\r\n<\/tr>\r\n
crispedricewafer<\/em><\/td>\r\nDoes it contain crisped rice, wafers, or a cookie component?<\/td>\r\n<\/tr>\r\n
hard<\/em><\/td>\r\nIs it a hard candy?<\/td>\r\n<\/tr>\r\n
bar<\/em><\/td>\r\nIs it a candy bar?<\/td>\r\n<\/tr>\r\n
pluribus<\/em><\/td>\r\nIs it one of many candies in a bag or box?<\/td>\r\n<\/tr>\r\n
sugarpercent<\/em><\/td>\r\nThe percentile of sugar it falls under within the dataset.<\/td>\r\n<\/tr>\r\n
pricepercent<\/em><\/td>\r\nThe unit price percentile compared to the rest of the set.<\/td>\r\n<\/tr>\r\n
winpercent<\/em><\/td>\r\nThe overall win percentage according to 269,000 matchups.<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Parameter<\/strong><\/td>\r\nEstimate<\/strong><\/td>\r\nStandard\r\nerror<\/strong><\/td>\r\nt-value<\/strong><\/td>\r\nPr\u00a0>\u00a0|t|<\/strong><\/td>\r\n<\/tr>\r\n<\/thead>\r\n
Intercept<\/strong><\/td>\r\n42.93<\/td>\r\n2.88<\/td>\r\n14.91<\/td>\r\n<.0001<\/td>\r\n<\/tr>\r\n
peanutyalmondy<\/em><\/strong> = TRUE<\/strong><\/td>\r\n15.34<\/td>\r\n3.90<\/td>\r\n3.93<\/td>\r\n0.0002<\/td>\r\n<\/tr>\r\n
sugarpercent<\/em><\/strong><\/td>\r\n10.14<\/td>\r\n5.15<\/td>\r\n1.97<\/td>\r\n0.0523<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Parameter<\/strong><\/td>\r\nEstimate<\/strong><\/td>\r\nStandard\r\nerror<\/strong><\/td>\r\nt-value<\/strong><\/td>\r\nPr\u00a0>\u00a0|t|<\/strong><\/td>\r\n<\/tr>\r\n<\/thead>\r\n
Intercept<\/strong><\/td>\r\n43.40<\/td>\r\n3.01<\/td>\r\n14.41<\/td>\r\n<.0001<\/td>\r\n<\/tr>\r\n
peanutyalmondy<\/em><\/strong> = TRUE<\/strong><\/td>\r\n10.48<\/td>\r\n9.63<\/td>\r\n1.09<\/td>\r\n0.2799<\/td>\r\n<\/tr>\r\n
sugarpercent<\/em><\/strong><\/td>\r\n9.15<\/td>\r\n5.48<\/td>\r\n1.67<\/td>\r\n0.0985<\/td>\r\n<\/tr>\r\n
sugarpercent<\/em><\/strong>peanutyalmondy <\/em><\/strong>= TRUE<\/strong><\/td>\r\n9.23<\/td>\r\n16.69<\/td>\r\n0.55<\/td>\r\n0.5818<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
\r\n\r\n\r\n\r\n\r\n\r\n
peanutyalmondy<\/em><\/strong> indicator variable value<\/strong><\/td>\r\nEstimated model equation<\/strong><\/td>\r\n<\/tr>\r\n
peanutyalmondy<\/em> \u00a01 or TRUE<\/td>\r\n\u00a0_________ \u00a0________<\/td>\r\n<\/tr>\r\n
peanutyalmondy<\/em> \u00a00 or FALSE<\/td>\r\n\u00a0_________ ________<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
LeadLevels<\/em><\/strong><\/td>\r\nElevation_Feet<\/em><\/strong><\/td>\r\nDirection<\/em><\/strong><\/td>\r\n<\/tr>\r\n
3.475<\/td>\r\n2000<\/td>\r\nwest<\/td>\r\n<\/tr>\r\n
3.359<\/td>\r\n2000<\/td>\r\nwest<\/td>\r\n<\/tr>\r\n
3.877<\/td>\r\n2000<\/td>\r\nwest<\/td>\r\n<\/tr>\r\n
4<\/td>\r\n2500<\/td>\r\nwest<\/td>\r\n<\/tr>\r\n
3.618<\/td>\r\n2500<\/td>\r\nwest<\/td>\r\n<\/tr>\r\n
2.644<\/td>\r\n2500<\/td>\r\nwest<\/td>\r\n<\/tr>\r\n
4.575<\/td>\r\n3000<\/td>\r\nwest<\/td>\r\n<\/tr>\r\n
8.6<\/td>\r\n3000<\/td>\r\nwest<\/td>\r\n<\/tr>\r\n
6.952<\/td>\r\n3000<\/td>\r\neast<\/td>\r\n<\/tr>\r\n
4.349<\/td>\r\n3000<\/td>\r\neast<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Parameter<\/strong><\/td>\r\nEstimate<\/strong><\/td>\r\nStandard\r\nError<\/strong><\/td>\r\nt-value<\/strong><\/td>\r\nPr\u00a0>\u00a0|t|<\/strong><\/td>\r\n<\/tr>\r\n<\/thead>\r\n
Intercept<\/strong><\/td>\r\n2.385<\/td>\r\n5.393<\/td>\r\n0.44<\/td>\r\n0.6598<\/td>\r\n<\/tr>\r\n
Direction<\/em><\/strong> = east<\/strong><\/td>\r\n3.201<\/td>\r\n7.670<\/td>\r\n0.42<\/td>\r\n0.6777<\/td>\r\n<\/tr>\r\n
Elevation_Feet<\/em><\/strong><\/td>\r\n0.002<\/td>\r\n0.002<\/td>\r\n0.84<\/td>\r\n0.4014<\/td>\r\n<\/tr>\r\n
Elevation_Feet<\/em><\/strong> * Direction<\/em> = east<\/strong><\/td>\r\n-0.001<\/td>\r\n0.003<\/td>\r\n-0.44<\/td>\r\n0.6629<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Variable<\/strong><\/td>\r\nDescription<\/strong><\/td>\r\n<\/tr>\r\n
ID<\/em><\/td>\r\nIdentification number<\/td>\r\n<\/tr>\r\n
Height<\/em><\/td>\r\nHeight in centimeters (cm)<\/td>\r\n<\/tr>\r\n
Weight<\/em><\/td>\r\nWeight in kilograms (kg)<\/td>\r\n<\/tr>\r\n
Age<\/em><\/td>\r\nAge in years<\/td>\r\n<\/tr>\r\n
Sex<\/em><\/td>\r\nMale\/female<\/td>\r\n<\/tr>\r\n
Smokes<\/em><\/td>\r\nAre you a regular smoker? (yes\/no)<\/td>\r\n<\/tr>\r\n
Alcohol<\/em><\/td>\r\nAre you a regular drinker? (yes\/no)<\/td>\r\n<\/tr>\r\n
Exercise<\/em><\/td>\r\nWhat is your frequency of exercise? (low, moderate, high)<\/td>\r\n<\/tr>\r\n
GroupAssignment<\/em><\/td>\r\nWhether the student ran or sat between the first and second pulse measurements<\/td>\r\n<\/tr>\r\n
Pulse1<\/em><\/td>\r\nFirst pulse measurement (rate per minute)<\/td>\r\n<\/tr>\r\n
Pulse2<\/em><\/td>\r\nSecond pulse measurement (rate per minute)<\/td>\r\n<\/tr>\r\n
Year<\/em><\/td>\r\nYear of class (1993\u20131998)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
\r\n\r\n\r\n\r\n\r\n\r\n
Skill or Concept: I can . . .<\/td>\r\nQuestions to check your understanding<\/td>\r\nRating\r\nfrom 1 to 5<\/td>\r\n<\/tr>\r\n
Interpret the trend of a linear regression model with two explanatory variables.<\/td>\r\n5, 6, 8<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Visualize an interaction between a continuous explanatory variable and a categorical explanatory variable using a scatterplot.<\/td>\r\n1\u20134\r\n\r\n7, 9<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\"An \"A \"A\r\n\r\nGlossary\r\n
\r\n \t
interaction<\/dt>\r\n \t
when an explanatory variable has a different effect on the response variable.<\/dd>\r\n<\/dl>\r\n
\r\n \t
interaction term<\/dt>\r\n \t
a variable that represents an interaction between two variables.<\/dd>\r\n<\/dl>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>","rendered":"
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Variable name<\/strong><\/td>\nDefinition<\/strong><\/td>\n<\/tr>\n
competitorname<\/em><\/td>\nThe name of the Halloween candy<\/td>\n<\/tr>\n
chocolate<\/em><\/td>\nDoes it contain chocolate?<\/td>\n<\/tr>\n
fruity<\/em><\/td>\nIs it fruit flavored?<\/td>\n<\/tr>\n
caramel<\/em><\/td>\nIs there caramel in the candy?<\/td>\n<\/tr>\n
peanutyalmondy<\/em><\/td>\nDoes it contain peanuts, peanut butter, or almonds?<\/td>\n<\/tr>\n
nougat<\/em><\/td>\nDoes it contain nougat?<\/td>\n<\/tr>\n
crispedricewafer<\/em><\/td>\nDoes it contain crisped rice, wafers, or a cookie component?<\/td>\n<\/tr>\n
hard<\/em><\/td>\nIs it a hard candy?<\/td>\n<\/tr>\n
bar<\/em><\/td>\nIs it a candy bar?<\/td>\n<\/tr>\n
pluribus<\/em><\/td>\nIs it one of many candies in a bag or box?<\/td>\n<\/tr>\n
sugarpercent<\/em><\/td>\nThe percentile of sugar it falls under within the dataset.<\/td>\n<\/tr>\n
pricepercent<\/em><\/td>\nThe unit price percentile compared to the rest of the set.<\/td>\n<\/tr>\n
winpercent<\/em><\/td>\nThe overall win percentage according to 269,000 matchups.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n
Parameter<\/strong><\/td>\nEstimate<\/strong><\/td>\nStandard
\nerror<\/strong><\/td>\n		t-value<\/strong><\/td>\nPr\u00a0>\u00a0|t|<\/strong><\/td>\n<\/tr>\n<\/thead>\n
Intercept<\/strong><\/td>\n42.93<\/td>\n2.88<\/td>\n14.91<\/td>\n<.0001<\/td>\n<\/tr>\n
peanutyalmondy<\/em><\/strong> = TRUE<\/strong><\/td>\n15.34<\/td>\n3.90<\/td>\n3.93<\/td>\n0.0002<\/td>\n<\/tr>\n
sugarpercent<\/em><\/strong><\/td>\n10.14<\/td>\n5.15<\/td>\n1.97<\/td>\n0.0523<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n\n
Parameter<\/strong><\/td>\nEstimate<\/strong><\/td>\nStandard
\nerror<\/strong><\/td>\n		t-value<\/strong><\/td>\nPr\u00a0>\u00a0|t|<\/strong><\/td>\n<\/tr>\n<\/thead>\n
Intercept<\/strong><\/td>\n43.40<\/td>\n3.01<\/td>\n14.41<\/td>\n<.0001<\/td>\n<\/tr>\n
peanutyalmondy<\/em><\/strong> = TRUE<\/strong><\/td>\n10.48<\/td>\n9.63<\/td>\n1.09<\/td>\n0.2799<\/td>\n<\/tr>\n
sugarpercent<\/em><\/strong><\/td>\n9.15<\/td>\n5.48<\/td>\n1.67<\/td>\n0.0985<\/td>\n<\/tr>\n
sugarpercent<\/em><\/strong>peanutyalmondy <\/em><\/strong>= TRUE<\/strong><\/td>\n9.23<\/td>\n16.69<\/td>\n0.55<\/td>\n0.5818<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n
peanutyalmondy<\/em><\/strong> indicator variable value<\/strong><\/td>\nEstimated model equation<\/strong><\/td>\n<\/tr>\n
peanutyalmondy<\/em> \u00a01 or TRUE<\/td>\n\u00a0_________ \u00a0________<\/td>\n<\/tr>\n
peanutyalmondy<\/em> \u00a00 or FALSE<\/td>\n\u00a0_________ ________<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n
LeadLevels<\/em><\/strong><\/td>\nElevation_Feet<\/em><\/strong><\/td>\nDirection<\/em><\/strong><\/td>\n<\/tr>\n
3.475<\/td>\n2000<\/td>\nwest<\/td>\n<\/tr>\n
3.359<\/td>\n2000<\/td>\nwest<\/td>\n<\/tr>\n
3.877<\/td>\n2000<\/td>\nwest<\/td>\n<\/tr>\n
4<\/td>\n2500<\/td>\nwest<\/td>\n<\/tr>\n
3.618<\/td>\n2500<\/td>\nwest<\/td>\n<\/tr>\n
2.644<\/td>\n2500<\/td>\nwest<\/td>\n<\/tr>\n
4.575<\/td>\n3000<\/td>\nwest<\/td>\n<\/tr>\n
8.6<\/td>\n3000<\/td>\nwest<\/td>\n<\/tr>\n
6.952<\/td>\n3000<\/td>\neast<\/td>\n<\/tr>\n
4.349<\/td>\n3000<\/td>\neast<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n\n
Parameter<\/strong><\/td>\nEstimate<\/strong><\/td>\nStandard
\nError<\/strong><\/td>\n		t-value<\/strong><\/td>\nPr\u00a0>\u00a0|t|<\/strong><\/td>\n<\/tr>\n<\/thead>\n
Intercept<\/strong><\/td>\n2.385<\/td>\n5.393<\/td>\n0.44<\/td>\n0.6598<\/td>\n<\/tr>\n
Direction<\/em><\/strong> = east<\/strong><\/td>\n3.201<\/td>\n7.670<\/td>\n0.42<\/td>\n0.6777<\/td>\n<\/tr>\n
Elevation_Feet<\/em><\/strong><\/td>\n0.002<\/td>\n0.002<\/td>\n0.84<\/td>\n0.4014<\/td>\n<\/tr>\n
Elevation_Feet<\/em><\/strong> * Direction<\/em> = east<\/strong><\/td>\n-0.001<\/td>\n0.003<\/td>\n-0.44<\/td>\n0.6629<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Variable<\/strong><\/td>\nDescription<\/strong><\/td>\n<\/tr>\n
ID<\/em><\/td>\nIdentification number<\/td>\n<\/tr>\n
Height<\/em><\/td>\nHeight in centimeters (cm)<\/td>\n<\/tr>\n
Weight<\/em><\/td>\nWeight in kilograms (kg)<\/td>\n<\/tr>\n
Age<\/em><\/td>\nAge in years<\/td>\n<\/tr>\n
Sex<\/em><\/td>\nMale\/female<\/td>\n<\/tr>\n
Smokes<\/em><\/td>\nAre you a regular smoker? (yes\/no)<\/td>\n<\/tr>\n
Alcohol<\/em><\/td>\nAre you a regular drinker? (yes\/no)<\/td>\n<\/tr>\n
Exercise<\/em><\/td>\nWhat is your frequency of exercise? (low, moderate, high)<\/td>\n<\/tr>\n
GroupAssignment<\/em><\/td>\nWhether the student ran or sat between the first and second pulse measurements<\/td>\n<\/tr>\n
Pulse1<\/em><\/td>\nFirst pulse measurement (rate per minute)<\/td>\n<\/tr>\n
Pulse2<\/em><\/td>\nSecond pulse measurement (rate per minute)<\/td>\n<\/tr>\n
Year<\/em><\/td>\nYear of class (1993\u20131998)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n
Skill or Concept: I can . . .<\/td>\nQuestions to check your understanding<\/td>\nRating
\nfrom 1 to 5<\/td>\n<\/tr>\n
Interpret the trend of a linear regression model with two explanatory variables.<\/td>\n5, 6, 8<\/td>\n<\/td>\n<\/tr>\n
Visualize an interaction between a continuous explanatory variable and a categorical explanatory variable using a scatterplot.<\/td>\n1\u20134<\/p>\n

7, 9<\/td>\n

<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\"An \"A \"A<\/p>\n

Glossary<\/p>\n

\n
interaction<\/dt>\n
when an explanatory variable has a different effect on the response variable.<\/dd>\n<\/dl>\n
\n
interaction term<\/dt>\n
a variable that represents an interaction between two variables.<\/dd>\n<\/dl>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"author":23592,"menu_order":60,"template":"","meta":{"_candela_citation":"[]","CANDELA_OUTCOMES_GUID":"","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-2189","chapter","type-chapter","status-publish","hentry"],"part":704,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/2189","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/users\/23592"}],"version-history":[{"count":4,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/2189\/revisions"}],"predecessor-version":[{"id":3007,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/2189\/revisions\/3007"}],"part":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/parts\/704"}],"metadata":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/2189\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/media?parent=2189"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapter-type?post=2189"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/contributor?post=2189"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/license?post=2189"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}