A Study Of Class Attendance And Grades Among FinstChegg.com www.webassign.net/we

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A Study Of Class Attendance And Grades Among FinstChegg.com www.webassign.net/web/Student/Assignment-Responses/last dep 16366326 02 CSearch Every few years, the National Assessment of Educational Progress asks a national sample of eighth-graders to perform the same math tasks. The goal is to get an honest picture of progress in math. Suppose these are the last few national mean scores, on a scale of o to 500. Year 1990 1992 1996 2000 2003 2005 2008 Score 263 268 273 274 278 279 281 slow linear increasing trend. (Do this on your own.) (a) Make a time plot of the mean scores, by hand. This is just a scatterplot of score against year There is a (b) Find the regression line of mean score on time step-by-step. First calcufat e the mean and standard deviation of each variable and their correlation (use a calculator with these functions). Then find the equation of the least-squares ine from these. (Round Draw the line on your scatterplot. What percent of the y (c) Now use software or the regression function on your calculator to venify your regression ine. (Oo ths on your own.) t your answers to two decimal places.) I deciesal place. ear-to- year variation in scores is explained by the linear trend? (Round your answer to one elook A student wonders if talil women tend to date taler men than do short women. She measures herselt her dormitory roommate, and the women n the adoining rooms then she measures the next man each woman dates. The data (heights in nches) are listed below 1a. 0.ar1 points l Pre-ous Anywers lnntestati 2E5033P

Explanation / Answer

USING MINITAB

Regression Analysis: SCORE versus YEAR

The regression equation is
SCORE = 0.80 + 0.1374 YEAR

S = 4.00332   R-Sq = 67.6%   R-Sq(adj) = 61.1%

Analysis of Variance

Source      DF       SS       MS      F      P
Regression   1 167.296 167.296 10.44 0.023
Error        5   80.133   16.027
Total        6 247.429

Fitted Line: SCORE versus YEAR

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