{"id":2169,"date":"2022-01-27T01:43:03","date_gmt":"2022-01-27T01:43:03","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/?post_type=chapter&p=2169"},"modified":"2022-02-10T00:17:05","modified_gmt":"2022-02-10T00:17:05","slug":"17a","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/chapter\/17a\/","title":{"raw":"17A","rendered":"17A"},"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<\/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<\/div>\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
id<\/em><\/td>\r\nIdentification number of the student<\/td>\r\n<\/tr>\r\n
female<\/em><\/td>\r\nGender of the student (0 = male, 1 = female)<\/td>\r\n<\/tr>\r\n
race<\/em><\/td>\r\nEthnic background of the student (1 = Hispanic, 2 = Asian, 3 = Black, 4 = White)<\/td>\r\n<\/tr>\r\n
ses<\/em><\/td>\r\nSocio-economic status of the student (1 = low, 2 = medium, 3 = high)<\/td>\r\n<\/tr>\r\n
schtyp<\/em><\/td>\r\nSchool type (1 = public, 2 = private)<\/td>\r\n<\/tr>\r\n
prog<\/em><\/td>\r\nProgram type (1 = general, 2 = academic preparatory, 3 = vocational\/technical)<\/td>\r\n<\/tr>\r\n
read<\/em><\/td>\r\nScore from test of reading<\/td>\r\n<\/tr>\r\n
write<\/em><\/td>\r\nScore from test of writing<\/td>\r\n<\/tr>\r\n
math<\/em><\/td>\r\nScore from test of math<\/td>\r\n<\/tr>\r\n
science<\/em><\/td>\r\nScore from test of science<\/td>\r\n<\/tr>\r\n
socst<\/em><\/td>\r\nScore from test of social studies<\/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
<\/td>\r\nEstimate<\/strong><\/td>\r\n<\/tr>\r\n
Intercept<\/strong><\/td>\r\n11.61550<\/td>\r\n<\/tr>\r\n
math<\/em><\/strong><\/td>\r\n0.4172<\/td>\r\n<\/tr>\r\n
read<\/em><\/strong><\/td>\r\n0.36542<\/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
Coefficients<\/strong><\/td>\r\nEstimate<\/strong><\/td>\r\n<\/tr>\r\n
Intercept<\/td>\r\n49.58930<\/td>\r\n<\/tr>\r\n
Age (yrs)<\/td>\r\n0.16531<\/td>\r\n<\/tr>\r\n
Weight (lbs)<\/td>\r\n0.22638<\/td>\r\n<\/tr>\r\n
Height (in)<\/td>\r\n1.11680<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/div>\r\n<\/div>\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
Coefficients<\/strong><\/td>\r\nEstimate<\/strong><\/td>\r\n<\/tr>\r\n
Intercept<\/td>\r\n86.96948<\/td>\r\n<\/tr>\r\n
Weight<\/td>\r\n0.17002<\/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
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 response and explanatory variables.<\/td>\r\n1, 2, 7, 8<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Write the equation of the line of best fit for simple linear regression.<\/td>\r\n4<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Interpret the slope in the context of the data.<\/td>\r\n5<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Interpret the coefficient of determination.<\/td>\r\n6<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Interpret a scatterplot of a response variable and one explanatory variable.<\/td>\r\n3<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\"A \"A \"A \"A \"A \"A \"A\r\n\r\nGlossary\r\n\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n
\r\n \t
multiple linear regression model<\/dt>\r\n \t
a linear regression model with two or more explanatory variables.<\/dd>\r\n<\/dl>\r\n
\r\n \t
partial slopes<\/dt>\r\n \t
the regression coefficients for explanatory variables in multiple linear regression.<\/dd>\r\n<\/dl>","rendered":"
\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<\/div>\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
id<\/em><\/td>\nIdentification number of the student<\/td>\n<\/tr>\n
female<\/em><\/td>\nGender of the student (0 = male, 1 = female)<\/td>\n<\/tr>\n
race<\/em><\/td>\nEthnic background of the student (1 = Hispanic, 2 = Asian, 3 = Black, 4 = White)<\/td>\n<\/tr>\n
ses<\/em><\/td>\nSocio-economic status of the student (1 = low, 2 = medium, 3 = high)<\/td>\n<\/tr>\n
schtyp<\/em><\/td>\nSchool type (1 = public, 2 = private)<\/td>\n<\/tr>\n
prog<\/em><\/td>\nProgram type (1 = general, 2 = academic preparatory, 3 = vocational\/technical)<\/td>\n<\/tr>\n
read<\/em><\/td>\nScore from test of reading<\/td>\n<\/tr>\n
write<\/em><\/td>\nScore from test of writing<\/td>\n<\/tr>\n
math<\/em><\/td>\nScore from test of math<\/td>\n<\/tr>\n
science<\/em><\/td>\nScore from test of science<\/td>\n<\/tr>\n
socst<\/em><\/td>\nScore from test of social studies<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n
<\/td>\nEstimate<\/strong><\/td>\n<\/tr>\n
Intercept<\/strong><\/td>\n11.61550<\/td>\n<\/tr>\n
math<\/em><\/strong><\/td>\n0.4172<\/td>\n<\/tr>\n
read<\/em><\/strong><\/td>\n0.36542<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n
Coefficients<\/strong><\/td>\nEstimate<\/strong><\/td>\n<\/tr>\n
Intercept<\/td>\n49.58930<\/td>\n<\/tr>\n
Age (yrs)<\/td>\n0.16531<\/td>\n<\/tr>\n
Weight (lbs)<\/td>\n0.22638<\/td>\n<\/tr>\n
Height (in)<\/td>\n1.11680<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/div>\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
Coefficients<\/strong><\/td>\nEstimate<\/strong><\/td>\n<\/tr>\n
Intercept<\/td>\n86.96948<\/td>\n<\/tr>\n
Weight<\/td>\n0.17002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\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 response and explanatory variables.<\/td>\n1, 2, 7, 8<\/td>\n<\/td>\n<\/tr>\n
Write the equation of the line of best fit for simple linear regression.<\/td>\n4<\/td>\n<\/td>\n<\/tr>\n
Interpret the slope in the context of the data.<\/td>\n5<\/td>\n<\/td>\n<\/tr>\n
Interpret the coefficient of determination.<\/td>\n6<\/td>\n<\/td>\n<\/tr>\n
Interpret a scatterplot of a response variable and one explanatory variable.<\/td>\n3<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

Glossary<\/p>\n<\/div>\n<\/div>\n<\/div>\n

\n
multiple linear regression model<\/dt>\n
a linear regression model with two or more explanatory variables.<\/dd>\n<\/dl>\n
\n
partial slopes<\/dt>\n
the regression coefficients for explanatory variables in multiple linear regression.<\/dd>\n<\/dl>\n","protected":false},"author":23592,"menu_order":58,"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-2169","chapter","type-chapter","status-publish","hentry"],"part":704,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/2169","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\/2169\/revisions"}],"predecessor-version":[{"id":2780,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/2169\/revisions\/2780"}],"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\/2169\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/media?parent=2169"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapter-type?post=2169"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/contributor?post=2169"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/license?post=2169"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}