A lecturer would like to see the relationship between Mathematics and Statistics modules. Shechooses a sample of students and records their scores in both modules. The scores are given intable below.StudentIH81ABD77EFGMathematics (x)6565The data are summarised as follows:717985788590Statistics ()7482648778616579Σx- 711 Σ- 655 Σν- 51798 Σy -4361E = 56631(a)Represent the above data in a scatter graph.(b)(1)Calculate product moment corelation coefficient, r.(11)Interpret your result in part b(i).(c)Compute coefficient of detemination, r.(d)(1)Compute linear regression equation in the form of y= a+ bx(1i)Draw the regression line on the same graph in part (a).(e)Estimate the Statistics score if the student obtains 80 score in Mathematics.

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Answered: A lecturer would like to see the…

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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First Paired Data Set 4 10 13 11 19 21 36. Use the First Paired Data Set. Find the correlation coefficient r. A. 0.862 B. 0.943 C. 0.725 D. 0.607
Waiting times (in minutes) of customers at a bank where all customers enter a single waiting line and a bank where customers wait in individual lines at three different teller windows are listed below. Find the coefficient of variation for each of the two sets of data, then compare the variation. Bank A (single line): 6.6 6.7 6.7 6.8 7.0 7.2 7.5 7.7 7.7 7.7 6.7 7.7 7.8 8.4 9.2 9.7 Bank B (individual 4.1 5.4 5.8 6.2 lines): www The coefficient of variation for the waiting times at Bank A is%. (Round to one decimal place as needed.)
Which r is the strongest correlation? O -0.8 O-0.18 O-0.09 O 0.711 O 0.4
You are given the following two series on income and credit scores. Income FICO 39 625 27 600 57 710 31 595 34 610 50 840 38 726 62 710 43 635 49 560 (A) Find the covariance and the correlation coefficient. (B) Do credit scores increase, decrease, stay the same, with Income? (C) Create a scatter plot with Income and credit score. What do you see? **Calculations can be shown by hand, in Excel, or in Word. Please show calcuations/steps**
Comment on one aspect of the comparison of data from the twodatasets that can be seen more easily on the histograms than onthe boxplots.
Attention: These data are different from your previous questions! Now Lynn takes a different approach. They collect another two samples - GPA from students taking a semester of in-class courses, and then the same students' GPA when they are taking a semester of online courses. The data set is below. They predict that they will find a difference between in-class GPA and online GPA for the same students. Differences Between GPA's Student In Class GPA Online GPA Amy 4.0 3.5 Brad 3.5 2.2 Caroline 3.7 2.0 Dan 3.5 3.5 Emily 3.6 3.3 Frank 3.2 3.2 George 3.3 2.1 What is the t-statistic for this t-test? (Round to 2 decimal places.)
Experimental or Observational: A group of students is interested in knowing if there is a correlation between the amount of sleep kids get and their performance on the SAT. They have 20 kids sleep for 5 hours, 20 kids sleep for 6 hours, 20 kids sleep for 7 hours, and 20 kids sleep for 8 hours. They get their SAT scores and analyze the data. ______________
The table shows… coefficient correlation
The correlation coefficient between variables X and Y is 0.62. What does this signify? Question 8Answer a. When Y increases 1, X increases by 0.62 b. When X increases by 1, Y increases by 0.62 c. The variance shared by X and Y is less 20% d. The variance shared by X and Y is 62%
You have data on the incidence of three types of malaria (A, B, and C) in three tropical regions (Africa, Asia, South America) . Is there a relationship between location and type of malaria? What is the appropriate test to answer this question? A Paired Samples t test B Correlation C Chi Square test D Independent Samples t test
part (B)

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