{"id":1134,"date":"2022-01-12T02:18:09","date_gmt":"2022-01-12T02:18:09","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/?post_type=chapter&p=1134"},"modified":"2022-02-07T21:52:16","modified_gmt":"2022-02-07T21:52:16","slug":"5a","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/chapter\/5a\/","title":{"raw":"5A","rendered":"5A"},"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
Store Location<\/strong><\/td>\r\nAverage Household Income ($1000s)<\/strong><\/td>\r\nNumber of Organic Vegetables Offered<\/strong><\/td>\r\n<\/td>\r\nStore Location<\/strong><\/td>\r\nAverage Household Income<\/strong>\r\n\r\n($1000s)<\/strong><\/td>\r\nNumber of Organic Vegetables Offered<\/strong><\/td>\r\n<\/tr>\r\n
S. Flores<\/td>\r\n71<\/td>\r\n36<\/td>\r\n<\/td>\r\nMarbach Rd.<\/td>\r\n49<\/td>\r\n38<\/td>\r\n<\/tr>\r\n
N. Rosillo St.<\/td>\r\n34<\/td>\r\n4<\/td>\r\n<\/td>\r\nBabcock Rd.<\/td>\r\n66<\/td>\r\n84<\/td>\r\n<\/tr>\r\n
Nogalitos St.<\/td>\r\n71<\/td>\r\n28<\/td>\r\n<\/td>\r\nWurzbach Rd.<\/td>\r\n87<\/td>\r\n61<\/td>\r\n<\/tr>\r\n
Fredericksburg Rd.<\/td>\r\n49<\/td>\r\n31<\/td>\r\n<\/td>\r\nW. Loop 1604 N.<\/td>\r\n78<\/td>\r\n56<\/td>\r\n<\/tr>\r\n
Olmos<\/td>\r\n78<\/td>\r\n78<\/td>\r\n<\/td>\r\nBandera Rd.<\/td>\r\n59<\/td>\r\n62<\/td>\r\n<\/tr>\r\n
N. New Braunfels Ave.<\/td>\r\n41<\/td>\r\n14<\/td>\r\n<\/td>\r\nS. New Braunfels<\/td>\r\n50<\/td>\r\n44<\/td>\r\n<\/tr>\r\n
Castroville<\/td>\r\n38<\/td>\r\n12<\/td>\r\n<\/td>\r\nS.W. Military<\/td>\r\n48<\/td>\r\n26<\/td>\r\n<\/tr>\r\n
Culebra Rd.<\/td>\r\n50<\/td>\r\n18<\/td>\r\n<\/td>\r\nS. Zarzamora<\/td>\r\n56<\/td>\r\n29<\/td>\r\n<\/tr>\r\n
S.E. Military Dr.<\/td>\r\n50<\/td>\r\n65<\/td>\r\n<\/td>\r\nE. Basse Rd.<\/td>\r\n125<\/td>\r\n95<\/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
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
Read a scatterplot.<\/td>\r\n4\u20136<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Use a scatterplot to determine whether a relationship between two variables has a positive trend, negative trend, or no trend.<\/td>\r\n7<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Use a scatterplot to identify linear relationships, non-linear relationships, and outliers.<\/td>\r\n8<\/td>\r\n<\/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\r\n\r\n\r\n\r\n\r\n\r\n
Animal<\/strong><\/td>\r\nGestation Period<\/strong><\/td>\r\nLongevity<\/strong><\/td>\r\nHeart Rate (b\/m)<\/strong><\/td>\r\nWeight (lbs) <\/strong><\/td>\r\n<\/tr>\r\n
Bear<\/td>\r\n220<\/td>\r\n22<\/td>\r\n80<\/td>\r\n600<\/td>\r\n<\/tr>\r\n
Cat<\/td>\r\n61<\/td>\r\n11<\/td>\r\n130<\/td>\r\n8<\/td>\r\n<\/tr>\r\n
Cow<\/td>\r\n280<\/td>\r\n11<\/td>\r\n66<\/td>\r\n1800<\/td>\r\n<\/tr>\r\n
Deer<\/td>\r\n249<\/td>\r\n13<\/td>\r\n45<\/td>\r\n125<\/td>\r\n<\/tr>\r\n
Dog<\/td>\r\n63<\/td>\r\n11<\/td>\r\n110<\/td>\r\n50<\/td>\r\n<\/tr>\r\n
Donkey<\/td>\r\n365<\/td>\r\n19<\/td>\r\n41<\/td>\r\n450<\/td>\r\n<\/tr>\r\n
Fox<\/td>\r\n57<\/td>\r\n9<\/td>\r\n120<\/td>\r\n7<\/td>\r\n<\/tr>\r\n
Giraffe<\/td>\r\n450<\/td>\r\n20<\/td>\r\n65<\/td>\r\n1800<\/td>\r\n<\/tr>\r\n
Goat<\/td>\r\n151<\/td>\r\n12<\/td>\r\n75<\/td>\r\n60<\/td>\r\n<\/tr>\r\n
Groundhog<\/td>\r\n31<\/td>\r\n7<\/td>\r\n80<\/td>\r\n9<\/td>\r\n<\/tr>\r\n
Horse<\/td>\r\n336<\/td>\r\n23<\/td>\r\n34<\/td>\r\n1400<\/td>\r\n<\/tr>\r\n
Kangaroo<\/td>\r\n35<\/td>\r\n5<\/td>\r\n36<\/td>\r\n120<\/td>\r\n<\/tr>\r\n
Lion<\/td>\r\n108<\/td>\r\n10<\/td>\r\n60<\/td>\r\n350<\/td>\r\n<\/tr>\r\n
Monkey<\/td>\r\n205<\/td>\r\n14<\/td>\r\n192<\/td>\r\n25<\/td>\r\n<\/tr>\r\n
Pig<\/td>\r\n115<\/td>\r\n10<\/td>\r\n95<\/td>\r\n200<\/td>\r\n<\/tr>\r\n
Sheep<\/td>\r\n151<\/td>\r\n12<\/td>\r\n75<\/td>\r\n200<\/td>\r\n<\/tr>\r\n
Squirrel<\/td>\r\n44<\/td>\r\n8<\/td>\r\n120<\/td>\r\n1<\/td>\r\n<\/tr>\r\n
Wolf<\/td>\r\n62<\/td>\r\n11<\/td>\r\n70<\/td>\r\n80<\/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
Variables <\/strong><\/td>\r\nCorrelation Coefficient<\/strong><\/td>\r\nDescription of Strength<\/strong>\r\n\r\n\u00a0<\/strong><\/td>\r\n<\/tr>\r\n
Gestation Period, Heart Rate<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Weight, Longevity<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Gestation Period, Longevity<\/td>\r\n<\/td>\r\n<\/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
Correlation Coefficient,<\/td>\r\nGeneral Interpretation<\/td>\r\n<\/tr>\r\n
-1 to -0.7<\/td>\r\nStrong negative linear relationship<\/td>\r\n<\/tr>\r\n
-0.7 to -0.3<\/td>\r\nModerate negative linear relationship<\/td>\r\n<\/tr>\r\n
-0.3 to -0.1<\/td>\r\nWeak negative linear relationship<\/td>\r\n<\/tr>\r\n
-0.1 to 0.1<\/td>\r\nNegligible or no linear relationship<\/td>\r\n<\/tr>\r\n
0.1 to 0.3<\/td>\r\nWeak positive linear relationship<\/td>\r\n<\/tr>\r\n
0.3 to 0.7<\/td>\r\nModerate positive linear relationship<\/td>\r\n<\/tr>\r\n
0.7 to 1<\/td>\r\nStrong positive linear relationship<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\"A \"A \"A \"A \"A\r\n\r\n\"A \"A \"A \"A\r\n\r\n\"A\r\n\r\nGlossary\r\n
\r\n \t
scatterplot<\/dt>\r\n \t
a graph used to visualize the relationship between bivariate data.<\/dd>\r\n<\/dl>\r\n
\r\n \t
bivariate data<\/dt>\r\n \t
two quantitative variables.<\/dd>\r\n<\/dl>\r\n
\r\n \t
positive trend<\/dt>\r\n \t
when\u00a0the response variable tends to increase as the explanatory variable increases<\/dd>\r\n<\/dl>\r\n
\r\n \t
negative trend<\/dt>\r\n \t
the response variable tends to decrease as the explanatory variable increases.<\/dd>\r\n<\/dl>\r\n
\r\n \t
linear<\/dt>\r\n \t
resembling a straight line.<\/dd>\r\n<\/dl>\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
Store Location<\/strong><\/td>\nAverage Household Income ($1000s)<\/strong><\/td>\nNumber of Organic Vegetables Offered<\/strong><\/td>\n<\/td>\nStore Location<\/strong><\/td>\nAverage Household Income<\/strong><\/p>\n

($1000s)<\/strong><\/td>\n

Number of Organic Vegetables Offered<\/strong><\/td>\n<\/tr>\n
S. Flores<\/td>\n71<\/td>\n36<\/td>\n<\/td>\nMarbach Rd.<\/td>\n49<\/td>\n38<\/td>\n<\/tr>\n
N. Rosillo St.<\/td>\n34<\/td>\n4<\/td>\n<\/td>\nBabcock Rd.<\/td>\n66<\/td>\n84<\/td>\n<\/tr>\n
Nogalitos St.<\/td>\n71<\/td>\n28<\/td>\n<\/td>\nWurzbach Rd.<\/td>\n87<\/td>\n61<\/td>\n<\/tr>\n
Fredericksburg Rd.<\/td>\n49<\/td>\n31<\/td>\n<\/td>\nW. Loop 1604 N.<\/td>\n78<\/td>\n56<\/td>\n<\/tr>\n
Olmos<\/td>\n78<\/td>\n78<\/td>\n<\/td>\nBandera Rd.<\/td>\n59<\/td>\n62<\/td>\n<\/tr>\n
N. New Braunfels Ave.<\/td>\n41<\/td>\n14<\/td>\n<\/td>\nS. New Braunfels<\/td>\n50<\/td>\n44<\/td>\n<\/tr>\n
Castroville<\/td>\n38<\/td>\n12<\/td>\n<\/td>\nS.W. Military<\/td>\n48<\/td>\n26<\/td>\n<\/tr>\n
Culebra Rd.<\/td>\n50<\/td>\n18<\/td>\n<\/td>\nS. Zarzamora<\/td>\n56<\/td>\n29<\/td>\n<\/tr>\n
S.E. Military Dr.<\/td>\n50<\/td>\n65<\/td>\n<\/td>\nE. Basse Rd.<\/td>\n125<\/td>\n95<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\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
Read a scatterplot.<\/td>\n4\u20136<\/td>\n<\/td>\n<\/tr>\n
Use a scatterplot to determine whether a relationship between two variables has a positive trend, negative trend, or no trend.<\/td>\n7<\/td>\n<\/td>\n<\/tr>\n
Use a scatterplot to identify linear relationships, non-linear relationships, and outliers.<\/td>\n8<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Animal<\/strong><\/td>\nGestation Period<\/strong><\/td>\nLongevity<\/strong><\/td>\nHeart Rate (b\/m)<\/strong><\/td>\nWeight (lbs) <\/strong><\/td>\n<\/tr>\n
Bear<\/td>\n220<\/td>\n22<\/td>\n80<\/td>\n600<\/td>\n<\/tr>\n
Cat<\/td>\n61<\/td>\n11<\/td>\n130<\/td>\n8<\/td>\n<\/tr>\n
Cow<\/td>\n280<\/td>\n11<\/td>\n66<\/td>\n1800<\/td>\n<\/tr>\n
Deer<\/td>\n249<\/td>\n13<\/td>\n45<\/td>\n125<\/td>\n<\/tr>\n
Dog<\/td>\n63<\/td>\n11<\/td>\n110<\/td>\n50<\/td>\n<\/tr>\n
Donkey<\/td>\n365<\/td>\n19<\/td>\n41<\/td>\n450<\/td>\n<\/tr>\n
Fox<\/td>\n57<\/td>\n9<\/td>\n120<\/td>\n7<\/td>\n<\/tr>\n
Giraffe<\/td>\n450<\/td>\n20<\/td>\n65<\/td>\n1800<\/td>\n<\/tr>\n
Goat<\/td>\n151<\/td>\n12<\/td>\n75<\/td>\n60<\/td>\n<\/tr>\n
Groundhog<\/td>\n31<\/td>\n7<\/td>\n80<\/td>\n9<\/td>\n<\/tr>\n
Horse<\/td>\n336<\/td>\n23<\/td>\n34<\/td>\n1400<\/td>\n<\/tr>\n
Kangaroo<\/td>\n35<\/td>\n5<\/td>\n36<\/td>\n120<\/td>\n<\/tr>\n
Lion<\/td>\n108<\/td>\n10<\/td>\n60<\/td>\n350<\/td>\n<\/tr>\n
Monkey<\/td>\n205<\/td>\n14<\/td>\n192<\/td>\n25<\/td>\n<\/tr>\n
Pig<\/td>\n115<\/td>\n10<\/td>\n95<\/td>\n200<\/td>\n<\/tr>\n
Sheep<\/td>\n151<\/td>\n12<\/td>\n75<\/td>\n200<\/td>\n<\/tr>\n
Squirrel<\/td>\n44<\/td>\n8<\/td>\n120<\/td>\n1<\/td>\n<\/tr>\n
Wolf<\/td>\n62<\/td>\n11<\/td>\n70<\/td>\n80<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n
Variables <\/strong><\/td>\nCorrelation Coefficient<\/strong><\/td>\nDescription of Strength<\/strong><\/p>\n

\u00a0<\/strong><\/td>\n<\/tr>\n

Gestation Period, Heart Rate<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Weight, Longevity<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Gestation Period, Longevity<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n\n\n\n
Correlation Coefficient,<\/td>\nGeneral Interpretation<\/td>\n<\/tr>\n
-1 to -0.7<\/td>\nStrong negative linear relationship<\/td>\n<\/tr>\n
-0.7 to -0.3<\/td>\nModerate negative linear relationship<\/td>\n<\/tr>\n
-0.3 to -0.1<\/td>\nWeak negative linear relationship<\/td>\n<\/tr>\n
-0.1 to 0.1<\/td>\nNegligible or no linear relationship<\/td>\n<\/tr>\n
0.1 to 0.3<\/td>\nWeak positive linear relationship<\/td>\n<\/tr>\n
0.3 to 0.7<\/td>\nModerate positive linear relationship<\/td>\n<\/tr>\n
0.7 to 1<\/td>\nStrong positive linear relationship<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

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

\"A<\/p>\n

Glossary<\/p>\n

\n
scatterplot<\/dt>\n
a graph used to visualize the relationship between bivariate data.<\/dd>\n<\/dl>\n
\n
bivariate data<\/dt>\n
two quantitative variables.<\/dd>\n<\/dl>\n
\n
positive trend<\/dt>\n
when\u00a0the response variable tends to increase as the explanatory variable increases<\/dd>\n<\/dl>\n
\n
negative trend<\/dt>\n
the response variable tends to decrease as the explanatory variable increases.<\/dd>\n<\/dl>\n
\n
linear<\/dt>\n
resembling a straight line.<\/dd>\n<\/dl>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"author":23592,"menu_order":17,"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-1134","chapter","type-chapter","status-publish","hentry"],"part":704,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/1134","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\/1134\/revisions"}],"predecessor-version":[{"id":2899,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/1134\/revisions\/2899"}],"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\/1134\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/media?parent=1134"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapter-type?post=1134"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/contributor?post=1134"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/license?post=1134"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}