1. Students at a local university believe that their statistics instructor gives themhomework assignments just to punish them. They wonder if there is any relationshipbetween the number of optional homework problems they do during the semesterand their final course grade. They decide to keep track of the number of theseproblems completed during the course of the semester. At the end of the class eachstudent's total is recorded along with their final grade.Problems (x) Course Grade (y)516258686266656668677672777372787878847385769175Using the above data:a. Calculate and write the estimated the regression equation to predict the finalgrade (y) from the number of homework problems (x) completed. |You can use Excel. If you use Excel, then attach the Excel page with your solutionto the Assignment. If you do it by hand, please attach a sheet showing your work.2. A researcher wants to investigate the relationship between the hours a studentspends studying for a test and the score on the test. The following data is gathered:a

Name: 1. Students at a local university believe that their statistics instr
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Description: 1. Students at a local university believe that their statistics instructor gives themhomework assignments just to punish them. They wonder if there is any relationshipbetween the number of optional homework problems they do during the semesterand th

Given data, Problems(x) Course Grade(y) 51 62 58 68 62 66 65 66 68 67 76 72 77 73 78 72 78 78 84 73 85 76 91 75Step-by-step procedure to obtain regression using Excel software is given below: Choose Data>Data analysis>Regression. In y, enter the column as course grade. In x, enter the column as Select Labels check box and select output range. Click OK. Options screen: Output: From the above output, the regression equation is, coefficient of intercept = 44.8266. coefficient of slope = 0.3552 y^=44.8266+0.3552(x) Excel sheet: Thus, the estimated regression equation for predicting course grade from number of homework problems completed is y^=44.8265+0.3552(x)

Math

Statistics

1. Students at a local university believe that their statistics instructor gives them homework assignments just to punish them. They wonder if there is any relationship between the number of optional homework problems they do during the semester and their final course grade. They decide to keep track of the number of these problems completed during the course of the semester. At the end of the class each student's total is recorded along with their final grade. Problems (x) Course Grade (y) 51 62 58 68 62 66 65 66 68 67 76 72 77 73 78 72 78 78 84 73 85 76 91 75 Using the above data: a. Calculate and write the estimated the regression equation to predict the final grade (y) from the number of homework problems (x) completed. You can use Excel. If you use Excel, then attach the Excel page with your solution to the Assignment. If you do it by hand, please attach a sheet showing your work.

1. Students at a local university believe that their statistics instructor gives them homework assignments just to punish them. They wonder if there is any relationship between the number of optional homework problems they do during the semester and their final course grade. They decide to keep track of the number of these problems completed during the course of the semester. At the end of the class each student's total is recorded along with their final grade. Problems (x) Course Grade (y) 51 62 58 68 62 66 65 66 68 67 76 72 77 73 78 72 78 78 84 73 85 76 91 75 Using the above data: a. Calculate and write the estimated the regression equation to predict the final grade (y) from the number of homework problems (x) completed. You can use Excel. If you use Excel, then attach the Excel page with your solution to the Assignment. If you do it by hand, please attach a sheet showing your work.

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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Concept explainers

Inverse Normal Distribution

The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.

Mean, Median, Mode

It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.

Z-Scores

A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.

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Question

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1. Students at a local university believe that their statistics instructor gives them
homework assignments just to punish them. They wonder if there is any relationship
between the number of optional homework problems they do during the semester
and their final course grade. They decide to keep track of the number of these
problems completed during the course of the semester. At the end of the class each
student's total is recorded along with their final grade.
Problems (x) Course Grade (y)
51
62
58
68
62
66
65
66
68
67
76
72
77
73
72
78
78
78
84
73
85
76
91
75
Using the above data:
a. Calculate and write the estimated the regression equation to predict the final
grade (y) from the number of homework problems (x) completed. |
You can use Excel. If you use Excel, then attach the Excel page with your solution
to the Assignment. If you do it by hand, please attach a sheet showing your work.
2. A researcher wants to investigate the relationship between the hours a student
spends studying for a test and the score on the test. The following data is gathered:
a

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