I would need some assistance with problem fourteen, please? Testing for a Linear Correlation. In Exercises 13–28, construct a scatterplot, and findthe value of the linear correlation coefficient r. Also find the P-value or the critical valuesof r from Table A-6. Use a significance level of a = 0.05. Determine whether there issufficient evidence to support a claim of a linear correlation between the two variables.(Save your work because the same data sets will be used in Section 10-2 exercises.) 14. Old Faithful Listed below are duration times (seconds) and time intervals (min) to the nexteruption for randomly selected eruptions of the Old Faithful geyser in Yellowstone NationalPark. Is there sufficient evidence to conclude that there is a linear correlation between durationtimes and interval after times?Duration242255227251262207140Interval After918191921029491

Given The data is as follows: Duration Interval After 242 91 255 81 227 91 251 92 262…

Answered: Testing for a Linear Correlation. In…

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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PROBLEM 03: The Jokia Cell Phone Company manufactures two models of cell phones - the Wombat and the Sloth. Each Wombat phone uses 2.5 ounces of gold leaf and 3 ounces of plastic, whereas each Sloth phone uses 2 ounces of gold leaf and 2 ounces of plastic. Each day, the company has only 370 ounces of gold leaf and 420 ounces of plastic to be used for making cell phones. If the company makes the correct number of each type of phone on a given day to use up all of the available gold leaf and plastic, how many Wombat phones will be made? A) 60 B) 100 C) 50 D) 90 E) 110 N) none of the above
2. A software manufacturer claims that its spell-checker can reduce spelling errors in text documents. Arandom sample of nine documents were written and the number of spelling errors counted before andafter the spell-checker was used. Assume that the differences are normally distributed.Document123456789Before5310201503After212001000Is there evidence for the manufacturer’s claim? Perform the appropriate hypothesis test, using level ofsignificance ? = 0.05
Please show detailed step-by-step explanation and solution for each problem (problem #2, problem #3, problem #4, problem #5, and problem #6). Please use the results of problems #2 and problems #3 to solve and show your work for problems #5 and problems #6 (just like the hint stated).
In an area of the Great Plains, records were kept on the relationship between the rainfall (in inches) and the yield of wheat (bushels per acre). The table shows the number of inches of rainfall and the yield (in bushels per acre). Use for problem #17 and #18. Rainfall (in inches), x 9.8 8.1 12.7 11.8 18.1 9.6 6.3 14.9 15.3 Yield (bushels per acre), y 48.5 44.2 56.8 57 80.4 47.2 29.9 74 76.8 17. Compute the linear correlation coefficient between the two variables above. (Round to thousandths.) 18. Determine whether a linear relation exists. (Show work to justify answer.)
Problems 4 thru 16
A researcher believed that the number of rental cars in service by a car rental company would have an impact on the total annual revenue for that car rental company. Five small car rental companies were surveyed, with the number of Cars in service recorded in units of 1000 (so if a car rental company had 54000 cars in service, a 54 would be recorded) and Annual Revenue measured in millions of dollars (so an Annual Revenue of $10,000,000 would be recorded as 10). The data follows: Cars (1,000s) Annual Revenue ($ millions)11.5 118 10.0 135 9.0 100 5.5 37 3.3 32 Part of the Excel-generated Simple Linear Regression output is provided below: ANOVA df SS MS F Significance F Regression 1 7891.863897 7891.863897 22.91180151 0.017339231 Residual 3 1033.336103 344.4453677 Total 4 8925.2 Coefficients Standard Error t Stat P-value Intercept -19.12490108 23.1658578…
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