Skip to content
Solved Assignments

Regression Analysis and Prediction: Third Exam and Final Exam Scores

Examines regression analysis in predicting exam performance.

Preview 2 of 2 pages

See the first 2 pages exactly as they appear in the document.

  1. Page 1
    Read page 1 as text

    Regression Analysis and Prediction: Third Exam and Final Exam Scores P 10 In the format they want for P assignments, please. Need within 48 hours or sooner please. 1. A random sample of 11 statistics students produced the following data where x is the third exam score, out of 80, and y is the final exam score, out of 200. THIRD EXAM SCORE (X) FINAL EXAM SCORE (Y)   2 X X    2 Y Y     X X Y Y   65 175 17.4876 211.5702 - 60.8264 67 133 4.76033 753.7521 59.9008 71 185 3.30579 602.4793 44.6281 71 163 3.30579 6.4793 4.6281 66 126 10.124 1187.1157 109.6281 75 198 33.8512 1409.6612 218.4463 67 153 4.76033 55.5702 16.2645 70 163 0.66942 6.4793 2.0826 71 159 3.30579 2.1157 - 2.6446 69 151 0.03306 89.3884 1.7190 69 159 0.03306 2.1157 0.2645 Total 761 1765 81.6364 4326.7273 394.0909 Mean 69.182 160.455 A) Predict the final score if the person obtains a third exam score of 68.        2 2 1 Here 16 4,326.7273 81.6364 394.0909 394.0909 ˆ The slope of the population linear regression line, 4.8274 81.6364 The -intercept of the population linear regressi YY XX XY XY XX n S Y Y S X X S X X Y Y S S y                     0 1 on line, 1 1 ˆ ˆ 1, 765 4.8274 761 173.5134 11 y x n                  

  2. Page 2
See all

Study this document with CramX

Once it is in your library, every tool can work from it.