{"id":219,"date":"2026-05-12T11:10:54","date_gmt":"2026-05-12T11:10:54","guid":{"rendered":"https:\/\/routledgelearning.com\/socialstatistics\/?page_id=219"},"modified":"2026-05-12T12:52:40","modified_gmt":"2026-05-12T12:52:40","slug":"chapter-7-flashcards","status":"publish","type":"page","link":"https:\/\/routledgelearning.com\/socialstatistics\/chapter-7-flashcards\/","title":{"rendered":"Chapter 7 Flashcards"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Chapter 7 Flashcards<\/h2>\n\n\n\n\n<!-- Swiper -->\n<div class=\"swiper mySwiper\">\n    <div class=\"swiper-wrapper\">\n\n        \n        <!-- Swiper Slide -->\n        <div class=\"swiper-slide\">\n          <!-- Flashcard -->\n           <button class=\"flip-card\" role=\"button\" tabindex=\"0\">\n            <div class=\"flip-card-inner\">\n              <div class=\"flip-card-front\"><p><p>A measure of the strength of the relationship between two ratio-level variables; ranges from -1 to +1<\/p>\n<\/p><\/div>\n              <div class=\"flip-card-back\"><p>Correlation coefficient<\/p>\n<\/div>\n            <\/div>\n          <\/button>\n        <\/div>\n\n        \n        <!-- Swiper Slide -->\n        <div class=\"swiper-slide\">\n          <!-- Flashcard -->\n           <button class=\"flip-card\" role=\"button\" tabindex=\"0\">\n            <div class=\"flip-card-inner\">\n              <div class=\"flip-card-front\"><p><p>A table that shows the correlations among multiple variables <\/p>\n<\/p><\/div>\n              <div class=\"flip-card-back\"><p>Correlation matrix<\/p>\n<\/div>\n            <\/div>\n          <\/button>\n        <\/div>\n\n        \n        <!-- Swiper Slide -->\n        <div class=\"swiper-slide\">\n          <!-- Flashcard -->\n           <button class=\"flip-card\" role=\"button\" tabindex=\"0\">\n            <div class=\"flip-card-inner\">\n              <div class=\"flip-card-front\"><p><p>A measure of the extent to which two variables vary together; appears in the numerator of both the formula for the regression slope and the formula for the correlation coefficient<\/p>\n<\/p><\/div>\n              <div class=\"flip-card-back\"><p>Covariance<\/p>\n<\/div>\n            <\/div>\n          <\/button>\n        <\/div>\n\n        \n        <!-- Swiper Slide -->\n        <div class=\"swiper-slide\">\n          <!-- Flashcard -->\n           <button class=\"flip-card\" role=\"button\" tabindex=\"0\">\n            <div class=\"flip-card-inner\">\n              <div class=\"flip-card-front\"><p><p>An equation with the typical format y = a + b(x)<\/p>\n<\/p><\/div>\n              <div class=\"flip-card-back\"><p>Linear equation<\/p>\n<\/div>\n            <\/div>\n          <\/button>\n        <\/div>\n\n        \n        <!-- Swiper Slide -->\n        <div class=\"swiper-slide\">\n          <!-- Flashcard -->\n           <button class=\"flip-card\" role=\"button\" tabindex=\"0\">\n            <div class=\"flip-card-inner\">\n              <div class=\"flip-card-front\"><p><p>The predicted value of the dependent variable when the independent variable is zero<\/p>\n<\/p><\/div>\n              <div class=\"flip-card-back\"><p>Regression constant<\/p>\n<\/div>\n            <\/div>\n          <\/button>\n        <\/div>\n\n        \n        <!-- Swiper Slide -->\n        <div class=\"swiper-slide\">\n          <!-- Flashcard -->\n           <button class=\"flip-card\" role=\"button\" tabindex=\"0\">\n            <div class=\"flip-card-inner\">\n              <div class=\"flip-card-front\"><p><p>A measure of the proportions of the variation in the dependent variable that can be explained by its relationship to the independent variable(s)<\/p>\n<\/p><\/div>\n              <div class=\"flip-card-back\"><p>r-squared (R-squared)<\/p>\n<\/div>\n            <\/div>\n          <\/button>\n        <\/div>\n\n        \n        <!-- Swiper Slide -->\n        <div class=\"swiper-slide\">\n          <!-- Flashcard -->\n           <button class=\"flip-card\" role=\"button\" tabindex=\"0\">\n            <div class=\"flip-card-inner\">\n              <div class=\"flip-card-front\"><p><p>A graphic that shows the relationship between two ratio-level variables by placing the cases onto a two-dimensional graph<\/p>\n<\/p><\/div>\n              <div class=\"flip-card-back\"><p>Scatterplot<\/p>\n<\/div>\n            <\/div>\n          <\/button>\n        <\/div>\n\n        \n        <!-- Swiper Slide -->\n        <div class=\"swiper-slide\">\n          <!-- Flashcard -->\n           <button class=\"flip-card\" role=\"button\" tabindex=\"0\">\n            <div class=\"flip-card-inner\">\n              <div class=\"flip-card-front\"><p><p>A statistical technique used to investigate the relationship between two ratio-level variables<\/p>\n<\/p><\/div>\n              <div class=\"flip-card-back\"><p>Simple regression<\/p>\n<\/div>\n            <\/div>\n          <\/button>\n        <\/div>\n\n        \n        <!-- Swiper Slide -->\n        <div class=\"swiper-slide\">\n          <!-- Flashcard -->\n           <button class=\"flip-card\" role=\"button\" tabindex=\"0\">\n            <div class=\"flip-card-inner\">\n              <div class=\"flip-card-front\"><p><p>The amount that the dependent variable changes when the independent variable goes up by one unit<\/p>\n<\/p><\/div>\n              <div class=\"flip-card-back\"><p>Slope<\/p>\n<\/div>\n            <\/div>\n          <\/button>\n        <\/div>\n\n        \n        <div id=\"flashcard-instruction\" class=\"sr-only\">Press Enter or Space to flip the card<\/div><div id=\"flip-announcement\" class=\"sr-only\" role=\"status\" aria-live=\"polite\"><\/div>\n\n    <\/div>\n\n    <div class=\"swiper-button-next\"><\/div>\n    <div class=\"swiper-button-prev\"><\/div>\n    <div class=\"swiper-pagination\"><\/div>\n    \n<\/div>\n<div role=\"region\" aria-live=\"polite\" id=\"announcement\" class=\"visually-hidden\"><\/div>\n\n<script>\n\nvar swiper = new 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