{"id":1305,"date":"2022-01-12T21:17:57","date_gmt":"2022-01-12T21:17:57","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/?post_type=chapter&p=1305"},"modified":"2022-02-08T02:27:52","modified_gmt":"2022-02-08T02:27:52","slug":"6e","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/chapter\/6e\/","title":{"raw":"6E\/6F","rendered":"6E\/6F"},"content":{"raw":"
\r\n\r\n\r\n\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
Identify the explanatory and response variables for a given scenario.<\/td>\r\n1<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Use technology to make a scatterplot.<\/td>\r\n2<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Use a scatterplot to describe bivariate relationships.<\/td>\r\n2<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Approximate predicted values from a scatterplot.<\/td>\r\n3, 4<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Use technology to calculate a line of best fit.<\/td>\r\n5, Part A<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Interpret the slope and intercept.<\/td>\r\n5, Parts B and C<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Calculate predictions using the line of best fit and assess reliability of the predictions.<\/td>\r\n5, Parts D through F<\/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
Sex<\/strong><\/td>\r\nBwt<\/strong><\/td>\r\nHwt<\/strong><\/td>\r\n<\/tr>\r\n
F<\/td>\r\n2<\/td>\r\n7<\/td>\r\n<\/tr>\r\n
F<\/td>\r\n2<\/td>\r\n7.4<\/td>\r\n<\/tr>\r\n
F<\/td>\r\n2<\/td>\r\n9.5<\/td>\r\n<\/tr>\r\n
F<\/td>\r\n2.1<\/td>\r\n7.2<\/td>\r\n<\/tr>\r\n
F<\/td>\r\n2.1<\/td>\r\n7.3<\/td>\r\n<\/tr>\r\n
F<\/td>\r\n2.1<\/td>\r\n7.6<\/td>\r\n<\/tr>\r\n
F<\/td>\r\n2.1<\/td>\r\n8.1<\/td>\r\n<\/tr>\r\n
F<\/td>\r\n2.1<\/td>\r\n8.2<\/td>\r\n<\/tr>\r\n
F<\/td>\r\n2.1<\/td>\r\n8.3<\/td>\r\n<\/tr>\r\n
F<\/td>\r\n2.1<\/td>\r\n8.5<\/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
Movie<\/strong><\/td>\r\nTomatometer<\/strong><\/td>\r\n<\/tr>\r\n
Aladdin (2019)<\/td>\r\n57<\/td>\r\n<\/tr>\r\n
Fantastic Four (2015)<\/td>\r\n9<\/td>\r\n<\/tr>\r\n
Parasite<\/td>\r\n98<\/td>\r\n<\/tr>\r\n
The Grinch<\/td>\r\n58<\/td>\r\n<\/tr>\r\n
Avengers: Age of Ultron<\/td>\r\n75<\/td>\r\n<\/tr>\r\n
Chaos Walking<\/td>\r\n22<\/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
Movie<\/strong><\/td>\r\nTomatometer<\/strong><\/td>\r\nPredicted audience score<\/strong><\/td>\r\n<\/tr>\r\n
Aladdin (2019)<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Parasite<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
The Grinch<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Avengers: Age of Ultron<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Chaos Walking<\/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
Movie<\/strong><\/td>\r\nTomatometer<\/strong><\/td>\r\nAudience score<\/strong><\/td>\r\nLetter on scatterplot<\/strong><\/td>\r\n<\/tr>\r\n
Aladdin (2019)<\/td>\r\n57<\/td>\r\n94<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Parasite<\/td>\r\n98<\/td>\r\n90<\/td>\r\n<\/td>\r\n<\/tr>\r\n
The Grinch<\/td>\r\n58<\/td>\r\n50<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Avengers: Age of Ultron<\/td>\r\n75<\/td>\r\n83<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Chaos Walking<\/td>\r\n22<\/td>\r\n72<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\"A \"A\"People\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\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Physical Activity<\/em><\/strong> = No<\/strong><\/td>\r\nPhysical Activity<\/em><\/strong> = Yes<\/strong><\/td>\r\n<\/tr>\r\n
Systolic Blood Pressure<\/em><\/strong><\/td>\r\nSystolic Blood Pressure<\/em><\/strong><\/td>\r\n<\/tr>\r\n
139<\/td>\r\n115<\/td>\r\n<\/tr>\r\n
150<\/td>\r\n118<\/td>\r\n<\/tr>\r\n
100<\/td>\r\n97<\/td>\r\n<\/tr>\r\n
132<\/td>\r\n111<\/td>\r\n<\/tr>\r\n
122<\/td>\r\n110<\/td>\r\n<\/tr>\r\n
121<\/td>\r\n118<\/td>\r\n<\/tr>\r\n
108<\/td>\r\n118<\/td>\r\n<\/tr>\r\n
104<\/td>\r\n129<\/td>\r\n<\/tr>\r\n
133<\/td>\r\n114<\/td>\r\n<\/tr>\r\n
129<\/td>\r\n113<\/td>\r\n<\/tr>\r\n
104<\/td>\r\n127<\/td>\r\n<\/tr>\r\n
129<\/td>\r\n124<\/td>\r\n<\/tr>\r\n
124<\/td>\r\n98<\/td>\r\n<\/tr>\r\n
119<\/td>\r\n125<\/td>\r\n<\/tr>\r\n
143<\/td>\r\n139<\/td>\r\n<\/tr>\r\n
92<\/td>\r\n142<\/td>\r\n<\/tr>\r\n
135<\/td>\r\n113<\/td>\r\n<\/tr>\r\n
114<\/td>\r\n110<\/td>\r\n<\/tr>\r\n
178<\/td>\r\n128<\/td>\r\n<\/tr>\r\n
158<\/td>\r\n119<\/td>\r\n<\/tr>\r\n
125<\/td>\r\n101<\/td>\r\n<\/tr>\r\n
103<\/td>\r\n128<\/td>\r\n<\/tr>\r\n
<\/td>\r\n110<\/td>\r\n<\/tr>\r\n
<\/td>\r\n125<\/td>\r\n<\/tr>\r\n
<\/td>\r\n103<\/td>\r\n<\/tr>\r\n
<\/td>\r\n104<\/td>\r\n<\/tr>\r\n
<\/td>\r\n124<\/td>\r\n<\/tr>\r\n
<\/td>\r\n108<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n\"A\r\n\r\nGlossary 6E\r\n
\r\n \t
extrapolation<\/dt>\r\n \t
using the model to predict for values of the explanatory variable far outside the range in our data.<\/dd>\r\n<\/dl>\r\n
\r\n \t
residual standard error<\/dt>\r\n \t
\ud835\udc94\ud835\udc86, is a measure of the variability in the residuals.<\/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
Skill or Concept: I can . . .<\/td>\nQuestions to check your understanding<\/td>\nRating
\nfrom 1 to 5<\/td>\n<\/tr>\n
Identify the explanatory and response variables for a given scenario.<\/td>\n1<\/td>\n<\/td>\n<\/tr>\n
Use technology to make a scatterplot.<\/td>\n2<\/td>\n<\/td>\n<\/tr>\n
Use a scatterplot to describe bivariate relationships.<\/td>\n2<\/td>\n<\/td>\n<\/tr>\n
Approximate predicted values from a scatterplot.<\/td>\n3, 4<\/td>\n<\/td>\n<\/tr>\n
Use technology to calculate a line of best fit.<\/td>\n5, Part A<\/td>\n<\/td>\n<\/tr>\n
Interpret the slope and intercept.<\/td>\n5, Parts B and C<\/td>\n<\/td>\n<\/tr>\n
Calculate predictions using the line of best fit and assess reliability of the predictions.<\/td>\n5, Parts D through F<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Sex<\/strong><\/td>\nBwt<\/strong><\/td>\nHwt<\/strong><\/td>\n<\/tr>\n
F<\/td>\n2<\/td>\n7<\/td>\n<\/tr>\n
F<\/td>\n2<\/td>\n7.4<\/td>\n<\/tr>\n
F<\/td>\n2<\/td>\n9.5<\/td>\n<\/tr>\n
F<\/td>\n2.1<\/td>\n7.2<\/td>\n<\/tr>\n
F<\/td>\n2.1<\/td>\n7.3<\/td>\n<\/tr>\n
F<\/td>\n2.1<\/td>\n7.6<\/td>\n<\/tr>\n
F<\/td>\n2.1<\/td>\n8.1<\/td>\n<\/tr>\n
F<\/td>\n2.1<\/td>\n8.2<\/td>\n<\/tr>\n
F<\/td>\n2.1<\/td>\n8.3<\/td>\n<\/tr>\n
F<\/td>\n2.1<\/td>\n8.5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n\n\n
Movie<\/strong><\/td>\nTomatometer<\/strong><\/td>\n<\/tr>\n
Aladdin (2019)<\/td>\n57<\/td>\n<\/tr>\n
Fantastic Four (2015)<\/td>\n9<\/td>\n<\/tr>\n
Parasite<\/td>\n98<\/td>\n<\/tr>\n
The Grinch<\/td>\n58<\/td>\n<\/tr>\n
Avengers: Age of Ultron<\/td>\n75<\/td>\n<\/tr>\n
Chaos Walking<\/td>\n22<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n\n
Movie<\/strong><\/td>\nTomatometer<\/strong><\/td>\nPredicted audience score<\/strong><\/td>\n<\/tr>\n
Aladdin (2019)<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Parasite<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
The Grinch<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Avengers: Age of Ultron<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Chaos Walking<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n\n
Movie<\/strong><\/td>\nTomatometer<\/strong><\/td>\nAudience score<\/strong><\/td>\nLetter on scatterplot<\/strong><\/td>\n<\/tr>\n
Aladdin (2019)<\/td>\n57<\/td>\n94<\/td>\n<\/td>\n<\/tr>\n
Parasite<\/td>\n98<\/td>\n90<\/td>\n<\/td>\n<\/tr>\n
The Grinch<\/td>\n58<\/td>\n50<\/td>\n<\/td>\n<\/tr>\n
Avengers: Age of Ultron<\/td>\n75<\/td>\n83<\/td>\n<\/td>\n<\/tr>\n
Chaos Walking<\/td>\n22<\/td>\n72<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Physical Activity<\/em><\/strong> = No<\/strong><\/td>\nPhysical Activity<\/em><\/strong> = Yes<\/strong><\/td>\n<\/tr>\n
Systolic Blood Pressure<\/em><\/strong><\/td>\nSystolic Blood Pressure<\/em><\/strong><\/td>\n<\/tr>\n
139<\/td>\n115<\/td>\n<\/tr>\n
150<\/td>\n118<\/td>\n<\/tr>\n
100<\/td>\n97<\/td>\n<\/tr>\n
132<\/td>\n111<\/td>\n<\/tr>\n
122<\/td>\n110<\/td>\n<\/tr>\n
121<\/td>\n118<\/td>\n<\/tr>\n
108<\/td>\n118<\/td>\n<\/tr>\n
104<\/td>\n129<\/td>\n<\/tr>\n
133<\/td>\n114<\/td>\n<\/tr>\n
129<\/td>\n113<\/td>\n<\/tr>\n
104<\/td>\n127<\/td>\n<\/tr>\n
129<\/td>\n124<\/td>\n<\/tr>\n
124<\/td>\n98<\/td>\n<\/tr>\n
119<\/td>\n125<\/td>\n<\/tr>\n
143<\/td>\n139<\/td>\n<\/tr>\n
92<\/td>\n142<\/td>\n<\/tr>\n
135<\/td>\n113<\/td>\n<\/tr>\n
114<\/td>\n110<\/td>\n<\/tr>\n
178<\/td>\n128<\/td>\n<\/tr>\n
158<\/td>\n119<\/td>\n<\/tr>\n
125<\/td>\n101<\/td>\n<\/tr>\n
103<\/td>\n128<\/td>\n<\/tr>\n
<\/td>\n110<\/td>\n<\/tr>\n
<\/td>\n125<\/td>\n<\/tr>\n
<\/td>\n103<\/td>\n<\/tr>\n
<\/td>\n104<\/td>\n<\/tr>\n
<\/td>\n124<\/td>\n<\/tr>\n
<\/td>\n108<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

\"A<\/p>\n

Glossary 6E<\/p>\n

\n
extrapolation<\/dt>\n
using the model to predict for values of the explanatory variable far outside the range in our data.<\/dd>\n<\/dl>\n
\n
residual standard error<\/dt>\n
\ud835\udc94\ud835\udc86, is a measure of the variability in the residuals.<\/dd>\n<\/dl>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"author":23592,"menu_order":24,"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-1305","chapter","type-chapter","status-publish","hentry"],"part":704,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/1305","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\/1305\/revisions"}],"predecessor-version":[{"id":2911,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/1305\/revisions\/2911"}],"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\/1305\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/media?parent=1305"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapter-type?post=1305"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/contributor?post=1305"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/license?post=1305"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}