REGRESSION ANALYSIS: PERFORMANCE TASKIntroductionIn the study of Tingganay (2003), students stay incompetent in mathematics for they lackcompetency on the fundamental concepts comprised in the study of this discipline. In the 2012Program for International Student Assessment (PISA), United States recorded low scores in mathematicsand ranked 36th out of the 65 participants worldwide. PISA is a system of international assessments thatmeasures 15-year-olds' capabilities in basic mathematics literacy, including science and reading(Willms, 2003). According to Wilson (2000), Mathematics is not exactly known as academe's mostprogressive discipline when it comes to curricular reform. Particularly, in calculus, students are stilltaught to plug in numbers and chug through a formula, and some undergraduates never learn howthis course relates to other disciplines, much less the real world. In addition, Husch (2001), approximately40% of the students enrolled in the first semester calculus class at The University of Tennessee in fallsemester, 1999, made grades of D, F, or W (Withdrawn). As cited by Husch (2001), repeatedly, professorshave reported similar situations with high failure rates. This entails that academic performance ofstudents in Mathematics is lower than what is desired.GoalYou are tasked to determine the equation that will predict students' grades in Statistics basedon student's grades in General Mathematics. The following are reported grades of 15 randomlyselected students under the Science, Technology, Engineering and Mathematics Program enrolled inthe Academic Year 2017-2018.General Mathematics (x):888887818780928988818387898988Statistics (y):9089868086819088928084868890871. Prepare a table then compute for the coefficient of correlation.2. If a correlation exists, determine the regression equation that will predict students' grades inbasic calculus based on the students' pre-calculus grades.3. Summarize your results in the following table.VariablesМeanrRegression EquationGen MathStatistics4. Interpret the results in the table under Task Number 3.5. Using the regression equation, substitute your gen math grade (x) to predict your statistics grade(y).

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1. Prepare a table then compute for the coefficient of correlation. 2. If a correlation exists, determine the regression equation that will predict students' gro basic calculus based on the students' pre-calculus grades. 3. Summarize your results in the following table. Variables Mean r Regression Equation Gen Math Statistics

1. Prepare a table then compute for the coefficient of correlation. 2. If a correlation exists, determine the regression equation that will predict students' gro basic calculus based on the students' pre-calculus grades. 3. Summarize your results in the following table. Variables Mean r Regression Equation Gen Math Statistics

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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