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of the midterm exam grade? (b) How many students are in this dataset? In other words, what is the sample size? (c) Compute the correlation between midterm and final exam grades for all students. What is the correlation coefficient? Attach R code. (d) Subset the first 30 students' data and assign this data to an R object called subsetDat Attach R code. (e) Compute the correlation between midterm and final exam grades for only the stu- dents in subsetData. What is the correlation coefficient? Attach R code. (f) Compare the correlation in part (e) with the correlation in part (c). What one is smaller? Why?

of the midterm exam grade? (b) How many students are in this dataset? In other words, what is the sample size? (c) Compute the correlation between midterm and final exam grades for all students. What is the correlation coefficient? Attach R code. (d) Subset the first 30 students' data and assign this data to an R object called subsetDat Attach R code. (e) Compute the correlation between midterm and final exam grades for only the stu- dents in subsetData. What is the correlation coefficient? Attach R code. (f) Compare the correlation in part (e) with the correlation in part (c). What one is smaller? Why?

MATLAB: An Introduction with Applications
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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Midterm Final 38.64 60.94 39.77 48.68 42.05 52.45 44.32 45.45 36.89 46.59 48.3 47.16 43.96 48.86 51.14 51.7 52.27 52.27 59.09 60.23 60.23 61.93 62.5 53.4 54.55 55.68 64.72 56.82 64.2 51.51 64.2 59.09 57.64 51.51 53.4 41.6 59.66 43.49 55.28 68.96 52.92 37.36 51.51 75 51.04 75 63.07 43.02 66.6 65.66 68.02 60.47 65.34 65.34 77.45 46.79 55.75 67.05 68.49 67.05 50.09 67.05 55.75 43.96 67.05 55.75 68.75 78.87 69.89 61.89 69.89 71.79 69.89 47.74 70.45 63.77 71.02 78.87 71.02 76.04 72.16 65.19 72.73 74.15 73.86 72.26 73.86 73.86 60.47 73.86 60.94 48.68 97.16 64.72 63.3 75.57 54.34 75.57 48.68 76.7 77.27 52.45 77.27 57.17 75.09 77.84 81.7 78.41 86.89 80.68 80.75 80.68 73.21 80.68 64.72 80.68 72.74 81.82 64.72 83.52 96.32 84.09 68.02 84.09 73.21 84.66 64.72 86.36 63.77 86.36 71.79 86.36 65.66 87.5 63.77 88.64 71.32 92.05 89.25 93.18 97.74 94.89 95.45 81.7 97.26 100
Transcribed Image Text:Midterm Final 38.64 60.94 39.77 48.68 42.05 52.45 44.32 45.45 36.89 46.59 48.3 47.16 43.96 48.86 51.14 51.7 52.27 52.27 59.09 60.23 60.23 61.93 62.5 53.4 54.55 55.68 64.72 56.82 64.2 51.51 64.2 59.09 57.64 51.51 53.4 41.6 59.66 43.49 55.28 68.96 52.92 37.36 51.51 75 51.04 75 63.07 43.02 66.6 65.66 68.02 60.47 65.34 65.34 77.45 46.79 55.75 67.05 68.49 67.05 50.09 67.05 55.75 43.96 67.05 55.75 68.75 78.87 69.89 61.89 69.89 71.79 69.89 47.74 70.45 63.77 71.02 78.87 71.02 76.04 72.16 65.19 72.73 74.15 73.86 72.26 73.86 73.86 60.47 73.86 60.94 48.68 97.16 64.72 63.3 75.57 54.34 75.57 48.68 76.7 77.27 52.45 77.27 57.17 75.09 77.84 81.7 78.41 86.89 80.68 80.75 80.68 73.21 80.68 64.72 80.68 72.74 81.82 64.72 83.52 96.32 84.09 68.02 84.09 73.21 84.66 64.72 86.36 63.77 86.36 71.79 86.36 65.66 87.5 63.77 88.64 71.32 92.05 89.25 93.18 97.74 94.89 95.45 81.7 97.26 100
This In this question, you will work with grades.csv file data file has two variables: 1) midterm exam grade in percentage; 2) final exam grade in percentage. Import the data into R and answer the following questions: (a) Use View() function to take a look at the dataset. Notice that the dataset is ordered according to the midterm exam grade. Is it ordered in ascending or descending order of the midterm exam grade? (b) How many students are in this dataset? In other words, what is the sample size? (c) Compute the correlation between midterm and final exam grades for all students. What is the correlation coefficient? Attach R code. (d) Subset the first 30 students' data and assign this data to an R object called subsetData. Attach R. code. (e) Compute the correlation between midterm and final exam grades for only the stu- dents in subsetData. What is the correlation coefficient? Attach R code. (f) Compare the correlation in part (e) with the correlation in part (c). What one is smaller? Why?
Transcribed Image Text:This In this question, you will work with grades.csv file data file has two variables: 1) midterm exam grade in percentage; 2) final exam grade in percentage. Import the data into R and answer the following questions: (a) Use View() function to take a look at the dataset. Notice that the dataset is ordered according to the midterm exam grade. Is it ordered in ascending or descending order of the midterm exam grade? (b) How many students are in this dataset? In other words, what is the sample size? (c) Compute the correlation between midterm and final exam grades for all students. What is the correlation coefficient? Attach R code. (d) Subset the first 30 students' data and assign this data to an R object called subsetData. Attach R. code. (e) Compute the correlation between midterm and final exam grades for only the stu- dents in subsetData. What is the correlation coefficient? Attach R code. (f) Compare the correlation in part (e) with the correlation in part (c). What one is smaller? Why?
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