You are given the following information about x and y. (Note: copy and paste the data in an Excel worksheet and then analyze the data set). x Independent Variable y Dependent Variable 15 5 12 7 10 9 7 11 The coefficient of determination equals ______.

You are given the following information about x and y. (Note: copy and paste the data in an Excel worksheet and then analyze the data set). x Independent Variable y Dependent Variable 15 5 12 7 10 9 7 11 The coefficient of determination equals ______.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

x Independent Variable	y Dependent Variable
15	5
12	7
10	9
7	11

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use the excel data G H M 1 Columni Column2 Columna Column4 Columns Columne Columne 2. Column7 Column Column10 Column11 Column12 Column13 Column14 6.1 9.4 8.1 3.2 6.5 7.2 7.8 4.9 3.5 6.6 6.1 5.1 4.9 4.2 3 6.4 8.1 6. 8.2 6.8 5.9 5.2 4. 6.5 5.4 5.9 9.3 5.4 6.5 7.4 12.4 6.8 5.6 5.8 6.2 5.6 6.4 9.5 7.2 5.6 4.7 4.5 6. 7.7 6.9 5.4 6.3 8.1 4.9 5.3 4.7 5.7 4.9 5.3 6.4 7.5 4.4 4.9 7.6 3.6 8.3 5.6 6.2 7.4 7.4 5.2 6.5 6.2 4.8 6.2 4.9 6. 7.7 4.7 9. 5.7 7.1 5.6 10 4.9 7.8 7.1 7.1 11.5 5.4 5.2 11 6.1 6.8 5.4 3.5 7.1 5.7 5.4 12 5.3 5.0 5.2 6.4 4.5 5.1 5.6 6.1 13 8.1 A.1 5.1 8.3 7.5 7.5 7.6 10.9 6.5 5.9 6.8 6.5 14 5.8 6.4 4.7 4.5 6.2 5.2 7.9 5.5 4.9 7.2 4.9 4.5 15 6.3 8.3 5.5 7.8 5.4 5.3 6.6 3.6 7.3 5.3 8.9 6.8 7.1 8.7 16 6.4 3.3 7.7 6.7 7.6 7.6 7.1 5.6 5.9 4.1 7.5 7.7 5.4 17 4.8 5.5 8.8 7.2 6.3 10 4.3 4.9 5.7 5.1 6.7 5.6 7.2 18 7.8 6.3 6.1 8.4 19 5.7 6.1 4.2 20 Question 3 Use Excel statistical functions on this data set. Make sure you have reformatted the data to not include blank cells. What is the…
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. Determine the regression equation using values you create for x and y for at least 10 pairs of data. Show the regression equation, correlation coefficient, and coefficient of determination. Then switch the x and y values for each data point. Based on that, again show the regression equation, correlation coefficient, and coefficient of determination. Discuss the similarities and differences between the results.
I need help with this one please thank you!
A researcher wants to determine if the exam scores of the students are dependent on the length of time spent in studying the subject. Ten students in a certain class were taken and the results are shown in the table below where X is the time spent in studying the subject in hours and Y is the examination scores. (Copy-paste the data and run the analysis using MS Excel). X (time) Y (score) 1.5 80 3.0 83 1.25 83 0.5 70 3.5 85 2.5 75 1.0 70 3.0 90 2.5 86 4.0 91 Predict the examination score (rounded to the nearest integer) of a student who spends 2 hours in studying the subject.
A researcher wants to determine if the exam scores of the students are dependent on the length of time spent in studying the subject. Ten students in a certain class were taken and the results are shown in the table below where X is the time spent in studying the subject in hours and Y is the examination scores.Which of the following statements best describes the coefficient of variation? * 79.44% of the total variation in the time spent in studying the subject is explained or accounted for by its linear relationship with the examination score 63.11% of the total variation in the time spent in studying the subject is explained or accounted for by its linear relationship with the examination score. 79.44% of the total variation in the examination score is explained or accounted for by its linear relationship with the time spent in studying the subject. 63.11% of the total variation in the examination score is explained or…
A researcher wants to determine if the exam scores of the students are dependent on the length of time spent in studying the subject. Ten students in a certain class were taken and the results are shown in the table below where X is the time spent in studying the subject in hours and Y is the examination scores. X (time) Y (score) 1.5 80 3.0 83 1.25 83 0.5 70 3.5 85 2.5 75 1.0 70 3.0 90 2.5 86 4.0 91 Determine the simple linear regression equation Y = a + bX. (round off values up to 1 decimal place)