2018AP Statistics Sample Student Responses and Scoring CommentaryInside: Free Response Question 1 5Scoring Guideline 5Student Samples 5Scoring Commentary © 2018 The College Board. College Board, Advanced Placement Program, AP, AP Central, and the acorn logo are registered trademarks of the College Board. Visit the College Board on the Web: www.collegeboard.org. $3&HQWUDOLVWKHRƱFLDORQOLQHKRPHIRUWKH$33URJUDP DSFHQWUDOFROOHJHERDUGRUJ
AP® STATISTICS 2018 SCORING GUIDELINES Question 1 Intent of Question The primary goals of this question were to assess a student’s ability to (1) identify various values in regression computer output; (2) interpret the intercept of a regression line in context; (3) interpret the coefficient of determination ()r2 in context; and (4) identify an outlier from a scatterplot. Solution Part (a): The estimate of the intercept is 72.95. It is estimated that the average time to finish checkout if there are no other customers in line is 72.95 seconds. Part (b): The coefficient of determination is r2 73.33%. This value indicates that 73.33% of the variability in the times it takes customers to finish checkout, including time waiting in line, can be explained by knowing how many customers are in line in front of the selected customer. Part (c): The outlier is the point with x 3 and y close to 0. This point is considered an outlier because the combination of x and y values differs from the pattern of the rest of the data. Specifically, the value of y (time to finish checkout) is much lower than would be expected when there are x 3 customers in line in front of the selected customer, given the remaining data. Scoring Parts (a), (b), and (c) are scored as essentially correct (E), partially correct (P), or incorrect (I). Part (a) is scored as follows: Essentially correct (E) if the response satisfies the following three components: 1.Correctly identifies 72.95 as the intercept. 2.Communicates the concept of a y -intercept in a context that includes both time and zero customers. 3.Indicates that the value of the intercept is a prediction by using language such as “predicted,” “estimated,” or “average” value of y. Partially correct (P) if the response includes only two of the three components. Incorrect (I) if the response includes at most one of the three components. © 2018 The College Board.Visit the College Board on the Web: www.collegeboard.org.
AP® STATISTICS 2018 SCORING GUIDELINES Question 1 (continued) Notes: xRegression equations (such as yˆ 72.95 174.40 x) cannot be used to satisfy identification of the intercept in component 1, unless the intercept is explicitly labeled as such. xA regression equation cannot be used to satisfy component 3. xIncorrect regression equations are treated as extraneous and do not affect the scoring of any component. xA response that interprets 72.95 as a slope does not satisfy components 1 or 2. Part (b) is scored as follows: Essentially correct (E) if the response satisfies the following three components: 1.Correctly identifies 73.33% as the coefficient of determination. 2.Provides a correct (possibly generic) interpretation of r2. 3.Interpretation includes context. Partially correct (P) if the response satisfies only two of the three components; OR if the response satisfies the three components, but reverses the roles of number of customers in line and time to finish checkout in the interpretation. Incorrect (I) if the response satisfies at most one of the three components. Notes: xIn component 2 the correct interpretation of the coefficient of determination can take any of several equivalent forms, such as: oThe percent variability in y that is attributed to the linear relationship between y and x or between x and y. oThe proportion of the total variability in the dependent variable y that is explained by the independent variable x. oThe proportion of variation in y that is accounted for by the linear model. oThe proportionate reduction of total variation of the y values that is associated with the use of the independent variable x. oThe proportionate reduction in the sum of the squares of vertical deviations obtained by using the least-squares line instead of the naïve prediction of y . xIn component 2 common incorrect interpretations of the coefficient of determination include: oThe percent variability in the predicted y values that is explained by the linear relationship between y and x. oThe percent variability in the data that is explained by the linear relationship between y and x. oThe percent variability that is explained by the linear relationship between y and x. oThe percent variability in y that is on average explained by the linear relationship between y and x. xFor component 3 context must include mention of time or customers. © 2018 The College Board.Visit the College Board on the Web: www.collegeboard.org.
AP® STATISTICS 2018 SCORING GUIDELINES Question 1 (continued) Part (c) is scored as follows: Essentially correct (E) if the response satisfies the following two components: 1.Correctly identifies the outlier. 2.Describes an unusual feature of the identified scatter plot point, relative to the remaining data points, that is sufficient to identify it as the outlier. Examples include: xThe combination of x and y values is unusual compared to the other points. xThe value of y is much lower than would be expected (or predicted), given the remaining data. xThe residual for the point is unusually large relative to the other residuals. Partially correct (P) if the response satisfies component 1 but does not satisfy component 2. Incorrect (I) if the response does not meet the criteria for E or P. Notes: xIn the absence of any point being circled on the graph, component 1 can still be satisfied by explicitly referring to the coordinates of the outlier. Valid coordinates for outlier identification must specify an x value of 3 and a y value that is strictly between 0 and 250. xA response that does not make a comparison to the remaining data points, such as stating the outlier has a large residual or is nowhere near the regression line, does not satisfy component 2. xA response that makes a comparison to the remaining data points based upon an unusual feature that is insufficient for outlier identification, such as stating the point is the only point with that particular y value, does not satisfy component 2. xIn the absence of explicit numerical calculation, a response that appeals to the influence that the outlier has on the regression coefficient estimates or on the sample correlation coefficient does not satisfy component 2. © 2018 The College Board.Visit the College Board on the Web: www.collegeboard.org.
AP® STATISTICS 2018 SCORING GUIDELINES Question 1 (continued) 4 Complete Response Three parts essentially correct 3 Substantial ResponseTwo parts essentially correct and one part partially correct2 Developing ResponseTwo parts essentially correct and no parts partially correctOR One part essentially correct and one or two parts partiallycorrect OR Three parts partially correct1 Minimal Response One part essentially correct OR No parts essentially correct and two parts partially correct© 2018 The College Board.Visit the College Board on the Web: www.collegeboard.org.
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