The price X (dollars per pound) and consumption y (in pounds per capita) of beef weresamples for 10 randomly selected years. The following data should be used to answerthe question that follows.n = 10Ex = 36.19Ex? = 134.172.9 s x < 6.2Ey = 774.7 Ey² = 60739.23Exy = 2832.21SSy = 717. Calculate thecorrelation coefficient and enter you answer accurate to the nearest hundredth (2 decimalUsing this data, a student calculated SSy = 28.43SSx = 3.2%3Dplaces).

Answered: Image /qna-images/answer/4f833b03-1339-41a4-a4f6-6a6ee527f41e.jpg

Answered: The price X (dollars per pound) and…

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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Use the following data for questions 36 thru 38 below: Hint (Calculate the missing values using the formula for determining error. ) Period 1 2 3 4 5 6 Actual Demand 445 420 435 450 Forecast 420 450 440 450 430 Error 25 10 -30 20 Absolute Value of Error What is the mean forecast error (MFE) or bias for the six months of data? Absolute Percentage Error
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o bag the potato chips. They had noticed a wide variability in th ags that were being produced with their current equipment, and e the variability. Therefore, they decided to determine if a newer reduce the variability in the weights of the bags. They randomly gs from their current machine and 50 bags from the new machin ded an average weight of 10 ounces. However, the current mach tion of 0.15 ounces and the new machine had a standard deviatic es.Carry out the appropriate hypothesis test at the a = 0.05 lev ..
Question 9 You are reviewing the nutrition values of different snack bars for health class. A summary of calculations for the 10 snack bars is shown below. Mean: 133 Median:140 Range: 125 IQR: 60 A new kind of snack bar was just advertised. You decide to in- clude the information for the new snack bar to your data set. Below is the new summary for the nutrition data of all 11 snack bars:
QUESTION 5 A hospital analyzed, for several randomly selected employees, the relationship between the employee's annual and the distance the employee must travel between home and work (in 10s of miles). The regression analysis sh -50.40. What is the sample correlation? a. -0.9073 b. None of the answers is correct C. -0.8256 d. -0.9525 e. -0.8871 QUESTION 6 Dep.=Annual Sales Indep.=Salespersons SUMMARY OUTPUT Regression Statistics Multiple R Click Save and Submit to save and submit. Click Save All Answers to save all answers. MacBook 000 D00 F4
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in the table below, what data is inputted in spss for a chi-square analysis? Irregular Seat Belt Use? Yes No Texted While Driving 1737 2048 Did not Text While Driving 1945 2775
The following table presents the time taken to review articles that were submitted for publication to a particular journal during a recent year. A few articles took longer than 6 months to review; these are omitted from the table. Consider the data to be a population. Time (Months) Number of Articles −00.9 45 −1.01.9 18 −2.02.9 16 −3.03.9 17 −4.04.9 12 −5.05.9 13 (a) Approximate the variance of the times. Round the answer to at least two decimal places. The variance is .(b) Approximate the standard deviation of the times. Round the answer to at least two decimal places.The standard deviation is .
18
A random sample of 42 earthquakes that have occurred between January 2015 and September 2017 was selected and for each earthquake the magnitude of the earthquake and the number of people killed was recorded. The data appear in the scatterplot below. 400 350 300 250 200 150 100 50 0 3 -50 4 5 6 7 8 9 10 -100 -150 Magnitude of Earthquake 8 Consider the scatterplot above question 2. Use this scatterplot to describe completely the relationship between the magnitude of the earthquake and the number of people killed. Positive and linear Negative, moderate, linear O Negative, strong, linear Positive, moderate, linear Number of People Killed ---
From the graphs displayed, is there evidence to suggest that there is a positive linear relationship between Square Feet and Bathrooms, for the population of real estate represented by this sample? Be sure to provide numeric support in your answer.

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