b) The table below shows the number of absences in a class and the final exam grade of 7randomly selected students. At 5% level can we say that there is a significant linear relationshipbetween X and Y?Studentnumber of absences (X)final exam grade (Y).1245163395909055708085d) Decision Rulee) Test Statisticsf) Decisiong) Conclusion

d) Given that the level of significance is 0.05 Decision Rule: If p-value ≤ α, then reject the null…

Answered: ) The table below shows the number of…

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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The table below shows the amount of shrimp and the amount of beef bought by each of 7 people. Create a scatter plot for the data. Amount of shrimp (in pounds) 5 8 9 10 11 13 14 Amount of beef (in pounds) Amount of beef (in pounds) 11 1 4 10 2 9 8 12+ 10+ 8- 6- y 10 12 Amount of shrimp (in pounds) FO X - S
Q5
Compute the linear correlation coefficient between the two variables and determine whether a linear relation exists. Round to three decimal places. A manager wishes to determine whether there is a relationship between the number of years her sales representatives have been with the company and their average monthly sales. The table shows the years of service for each of her sales representatives and their average monthly sales (in thousands of dollars). Years with company, x 6 7 14 11 12 19 7 5 15 Sales, y 26 28 73 57 60 56 43 50 115 Click the icon to view the critical values table. O A. r=0.632; a linear relation exists O B. r=0.717; no linear relation exists O C. r=0.632; no linear relation exists O D. r=0.717; a linear relation exists
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.)
using the excel data ... College Student Weekly Earnings in Dollars (n = 5) Hours Worked (X) Weekly Pay (Y) (xi - x̅)2 (yi - y̅)2 (xi - x̅)(yi - y̅) 11 95 16 173 22 210 18 157 30 270 x̅=?????? y̅=??????? SSxx SSyy SSxy
The basic hypothesis is that people who play sports are more likely than others to watch sport on TV. Your first task is to crosstabulate the data involving the playing and watching of sports and to determine the direction and strength of that relationship. Write out your findings about this basic relationship. Your next task is to determine the direction and strength of the partial relationships when you control for the gender of individuals.
The scatter plot shows a set of data for the variables x and y. 200 180 160 140 120 100 80 60 40 20 10 10 20 30 40 50 What type of association is shown in the scatter plot? a weak, negative association C a strong, negative association B. a weak, positive association D. a strong, positive association
The data indicate the number of wins and the number of goals scored for teams in the National Hockey League after the first month of the season. No. of wins, x B 5 6 9 10 0.885 Part: 0/3 9 Part 1 of 3 5 3 No. of goals, y 10 16 20 23 28 21 11 12 No. of wins, x 11 7 13 5 7 No. of goals, y 20 11 10 20 29 12 17 (a) Find the equation of regression line and draw the line on the scatter plot, but only if r is significant. Round the slope and y-intercept to four decimal places, if necessary. r (Choose one) significant at the 5% level. X
An institutional research administrator believes that there is a direct relationship between a student’s GPA and their score on a senior Aptitude Test. The following data show the results of 10 student’s grade point averages (X) and their aptitude test score (Y). GPA (X) Aptitude Test Score (Y) 2.4 25 2.5 32 2.6 28 2.4 37 3.1 33 3.0 38 3.7 44 3.4 42 3.8 49 Develop an estimated regression equation relating GPA and Aptitude Test score. Use the formulas from our notes to compute this equation. SHOW ALL WORK!! DO NOT USE EXCEL!! If a student’s GPA is 3.35, predict their Aptitude Test score
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A researcher explored the relationship between the percent of snow days during the month of January and the percent of students that receive an A on class finals at the same schools. The researcher collects information from 6 schools, shown in the table below. Use the graph below to plot the points and develop a linear relationship between the percent of January snow days and the percent of 'A' final exams. School Number % of Snow Days % of A Finals 1 5 25 2 7 45 3 10 50 4 12 65 5 20 70 6 25 86 Using the linear relationship graphed above, estimate the percent of 'A' finals if there are 2% snow days. Provide your answer below:

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) The table below shows the number of absences in a class and the final exam grade of 7 randomly selected students. At 5% level can we say that there is a significant linear relation between X and Y? Student 2 3 4 5 number of absences (X) 6. 4 final exam grade (Y) 95 90 90 55 70 80