Correlation coefficient, Statistics Assignment Homework Help

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Correlation problems Using the data given below, calculate the linear correlation between the two variables x and y. X y 0 1 a) .794 3 7 b) .878 3 2 c) .497 1 5 4 5 d) .543 The data below shows the number of years of education beyond high school (X) and income (Y) (in tens of thousands of dollars). Calculate the correlation coefficient r. X Y 5 4 a) .956 3 6 b) .941 c) -.971 1 8 3 5 d) -.956 The following data which represent two frequency distributions for ten subjects in an attitude study. The X data are scores on an attitude-toward-education measure and the Y data are scores on an attitude-toward-wealth scale. Subject 1 2 3 4 5 6 7 8 9 10 X 8 7 6 11 12 12 12 8 10 5 Y 12 10 8 16 15 19 20 12 15 8 Compute the Pearson product-moment correlation coefficient a) .950 b) .590 c) -.784 d) -.843 e) -.905 Is there a significant relationship between attitude towards education and attitude towards wealth? a) Yes b) No Enrollment and Courses Projection This is a real world example. I need your help in helping the Registrar’s office in calculating how many courses should run for the Fall ’15 semester. Using enrollment and courses that ran, I need you to do two things: a) Identify the regression equation for the data to estimate the number of courses. b) If the enrollment for Fall ’15 is 8,050, how many courses should be scheduled? The data below should help you with your recommendation. Enrollment Courses Fall ‘12 8342 1374 Fall ‘13 8079 1322 Fall ‘14 7551 1268 Fall ‘15 8050 ??? Correlation Coefficient http://www.mathportal.org/calculators/statistics-calculator/correlation-andregression-calculator.php (Don’t forget to highlight the radio button for find the correlation coefficient) 1. Look at the four categories below (2-5). Take a guess at which two variables will yield the highest correlation coefficient. Put an answer here. Just guess. Identify the correlation coefficient for the following (use your store data sheet): 2. Transaction and UPT 3. Transaction and OppVol 4. Traffic and UPT 5. OppVol and Traffic Store Data Name A. Reda B. Wilson C. Endsoy D. Arias E. Brown I. McClean J. Hags J. Merrell J. Santiago L. McKinnon L. Thompson L. Wheeler M. Clarke M. Davis M. Mayo M. Scott M. Terrell P. Worlda R. Haug S. Leaderis S. Miller S. Totalier T. Brown T. Dixon V. Teagle Gender m m f m f m f f m Sales 1652 2255 2113 2211 1699 1526 1107 1657 1283 Transactions 95 55 88 101 55 50 69 57 105 Traffic 111 91 162 186 93 130 182 103 162 m 2552 86 f m f f f m f f f m m f f f m 2579 2113 1095 2311 2533 2795 1382 1357 1756 1701 1966 1573 2144 2441 2352 77 76 104 81 82 109 51 67 72 55 70 60 62 96 71 UPT - Units per transaction OppVol - Missed Sales based on volume UPT 6.62 7.03 5.8 6.33 6.52 5.82 6.71 6.33 7.03 OppVol 258 64 173 257 34 618 357 102 895 162 6.43 861 216 130 182 93 186 216 100 130 186 111 216 117 103 182 117 6.02 5.64 6.51 6.28 5.69 5.64 6.22 6.22 6.81 6.02 6.28 5.56 5.64 6.03 5.56 951 32 259 52 30 1316 25 159 132 784 147 456 31 1050 874
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