(b) What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?O There appears to be a negative relationship between line speed (feet per minute) and the number of defective parts.There appears to be no noticeable relationship between line speed (feet per minute) and the number of defective parts.There appears to be a positive relationship between line speed (feet per minute) and the number of defective parts.(c) Use the least squares method to develop the estimated regression equation.ŷ =(d) Predict the number of defective parts found for a line speed of 25 feet per minute. Brawdy Plastics, Inc., produces plastic seat belt retainers for General Motors at the Brawdy Plastics plant in Buffalo, New York. After final assembly and painting, the parts are placed on a conveyor belt that moves the parts past a final inspection station. How fast theparts move past the final inspection station depends upon the line speed of the conveyor belt (feet per minute). Although faster line speeds are desirable, management is concerned that increasing the line speed too much may not provide enough time for inspectors toidentify which parts are actually defective. To test this theory, Brawdy Plastics conducted an experiment in which the same batch of parts, with a known number of defective parts, was inspected using a variety of line speeds. The following data were collected.LineNumber ofDefectiveParts FoundSpeed20242020301930164014401850145011(a) Develop a scatter diagram with the line speed as the independent variable.25202020151515●15101010105501020 3040506001020500102030 406030 40Line Speed (feet per minute)50Line Speed (feet per minute)Line Speed (feet per minute)(b) What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?O There appears to be a negative relationship between line speed (feet per minute) and the number of defective parts.O There appears to be no noticeable relationship between line speed (feet per minute) and the number of defective parts.O There appears to be a positive relationship between line speed (feet per minute) and the number of defective parts.Number of Defective PartsNumber of Defective Parts6020 30 405010Line Speed (feet per minute)60ⓇO0

The following information has been given: x ( line speed) y (number of defective parts found)…

Answered: (b) What does the scatter diagram…

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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College Graduation Rates. Data from the College Results Online website compared the 2011 graduation rate and median SAT score for 92 similar-sized public universities and colleges in the United States. The scatterplot below shows the relationship between these two variables along with the least squares fit. Round all calculated results to 4 decimal places. I ONLY need help with question 6.
Describe in your own words what it means to perform a linear least squares analysis. Provide an example to substantiate your claims
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 residual plot shows the residuals for the least- squares line relating price of a used car (y) to the number of miles driven (x). Residuals Residual Plot for Miles Driven vs Price 10,000 5,000 -5,000 50,000 100,000 150,000 200,000 Number of Miles Driven Based on the residual plot, is the linear model appropriate for the relationship between miles and price? No, because there are clear outliers in the residual plot. No, because there is a clear curved pattern in the residual plot. No, because there does not appear to be a pattern to the residuals. Yes, because there is a clear curved pattern in the residual plot. Yes, because there does not appear to be a pattern to the residuals.
(b) Estimate the least squares linear equation for R&D Expense on Assets. Interpret the fitted intercept and slope. Be sure to include their units. Note if either estimate represents a large extrapolation and is consequently not reliable. Complete the equation for the fitted line below. Estimated R&D Expense ($000,000) =.....+.....Assets ($000,000)
Please answer the bottom question. What is the interpretation of the intercept?
A student is preparing to take a stand allies exam she was told that she needs to get plenty of sleep the night before the exam she is interested in the relationship between the number of hours of sleep a student gets her for an exam and the score earned on the exam. She collects information from 10 other students who have already taken the exam as shown on the table. she fits at least squares regression line to the data and determines the equation of the line is why equals 26-0.18 X where why is the score earn on the exam and ask is the number of hours of sleep the night before the exam. The residual is given. based on the residual plot is the linear model appropriate? no, there is no clear pattern in the residual plot. yes, there is no clear pattern in the residual plot. no, the student who got the most you've had a negative residual yes, there are more negative residuals (6) then positive residuals (4)
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