Question 2You're a systems engineer whose company is looking to contract out a particular design task. A primary metric you're using to choose between twopossible contractors (C₁,C₂) is a quick time to completion. You've asked the two contractors to provide time-to-completion observations for severalrecent jobs for similar representative kinds of design tasks. You then created histograms from these data, shown below. Compare the performance ofthe two contractors and make a suggestion on which to choose. Provide well-motivated logic.ContractorC₁ContractorC₂time

Given are two histograms depicting the performance (time-to-completion) of two contractors C1 and…

Answered: You're a systems engineer whose company…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 15PPS

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Lovely Lawns, Inc., intends to use sales of lawn fertilizer to predict lawn mower sales. The store manager estimates a probable six- week lag between fertilizer sales and mower sales. The pertinent data are: Fertilizer Number of Fertilizer Number of Sales Mowers Sold Sales Mowers Sold Period (tons) (six-week lag) Period (tons) (six-week lag) 1 1.6 10 8. 1.3 7 1.3 8 1.7 10 3 1.8 11 10 1.2 6. 4 2.0 12 1.9 11 2.2 12 12 1.4 1.6 9. 13 1.7 10 7 1.5 14 1.6 a. Determine the correlation between the two variables. Does it appear that a relationship exists between these variables will yield good predictions? (Do not round intermediate calculations and round your answer to 3 decimal places.) it appears that a positive v relationship exists between these variables. b. Obtain a linear regression line for the data. (Negative values should be indicated by a minus sign. Do not round intermediate calculations and round your answers to 3 decimal places.) Y = O Xi + c. Predict expected lawn mower sales…
I have provided the box plot below, please only answer the highlighted questions
Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. Information taken from Mimbres Mogollon Archaeology by A. I. Woosley and A. J. McIntyre (University of New Mexico Press) provides data relating x = body diameter in centimeters and y = height in centimeters of prehistoric vessels reconstructed from sherds found at a prehistoric site. The following Minitab printout provides an analysis of the data. Predictor Coef SE Coef Constant -0.221 2.429 -0.09 0.929 Diameter 0.8067 0.1524 5.33 0.001 S = 4.23750 R-Sq = 87.5% (a) The standard error S. of the linear regression model is given in the printout as "S." What is the value ofS,? e (b) The standard error of the coefficient of the predictor variable is found under "SE Coef." Recall that the standard error for b is SJVEX² - (1/n)(Ex). From the Minitab display, what is the value of the standard error for the slope b? (c) The formula for the margin of error E for…
Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. Information taken from Mimbres Mogollon Archaeology by A. I. Woosley and A. J. McIntyre (University of New Mexico Press) provides data relating x = body diameter in centimeters and y = height in centimeters of prehistoric vessels reconstructed from sherds found at a prehistoric site. The following Minitab printout provides an analysis of the data. Predictor Coef SE Coef T P Constant -0.182 2.429 -0.09 0.929 Diameter 0.7824 0.1281 5.33 0.003 S = 3.92430 R-Sq = 71.4% (a) The standard error Se of the linear regression model is given in the printout as "S." What is the value of Se?(b) The standard error of the coefficient of the predictor variable is found under "SE Coef." Recall that the standard error for b is Se/√Σx2 – (1/n)(Σx)2. From the Minitab display, what is the value of the standard error for the slope b?(c) The formula for the…
Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. Information taken from Mimbres Mogollon Archaeology by A. I. Woosley and A. J. McIntyre (University of New Mexico Press) provides data relating x = body diameter in centimeters and y = height in centimeters of prehistoric vessels reconstructed from sherds found at a prehistoric site. The following Minitab printout provides an analysis of the data. Predictor Constant Diameter S = 3.91620 Coef -0.185 0.7959 lower limit upper limit R-Sq= 70.75 SE Coef 2.429 0.1686 T 5.33 P 0.929 0.019 (a) The standard error Se of the linear regression model is given in the printout as "S." What is the value of Se? (b) The standard error of the coefficient of the predictor variable is found under "SE Coef." Recall that the standard error for b is S₂/Ex² - (1/n)(Ex)². From the Minitab display, what is the value of the standard error for the slope b? (c) The formula for the…
Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. Information taken from Mimbres Mogollon Archaeology by A. I. Woosley and A. J. McIntyre (University of New Mexico Press) provides data relating x = body diameter in centimeters and y = height in centimeters of prehistoric vessels reconstructed from sherds found at a prehistoric site. The following Minitab printout provides an analysis of the data. Predictor Coef SE Coef T P Constant -0.212 2.429 -0.09 0.929 Diameter 0.7527 0.1686 5.33 0.013 S = 4.16190 R-Sq = 81.2% (c) The formula for the margin of error E for a c% confidence interval for the slope ? can be written as E = tc(SE Coef). The Minitab display is based on n = 12 data pairs. Find the critical value tc for a 90% confidence interval in the relevant table. Then find a 90% confidence interval for the population slope ?. (Use 3 decimal places.) tc lower limit upper…
As a sales analyst for the shoe retailer Foot Locker, one of your responsibilities is measuring store productivity and then reporting your conclusion back to management. Foot Locker uses sales per square foot as a measure of store productivity. While preparing your report for the second quarter results (Q2), you are able to determine that annual sales for last year ran at a rate of $406 per square foot. Therefore, $406 per square foot will be your sales estimate for the population of all Foot Locker stores during Q2. For your Q2 Sales Report, you decide to take a random sample of 64 stores. Using annual data from last year, you are able to determine that the standard deviation for sales per square foot for all 3,400 stores was $80. Therefore $80 per square foot will be your population standard deviation when compiling your Q2 report. You anticipate that management would be comfortable with a probability of 0.500 when offering your estimate of the sample mean. Using σ = $80…
As a sales analyst for the shoe retailer Foot Locker, one of your responsibilities is measuring store productivity and then reporting your conclusion back to management. Foot Locker uses sales per square foot as a measure of store productivity. While preparing your report for the second quarter results (Q2), you are able to determine that annual sales for last year ran at a rate of $406 per square foot. Therefore, $406 per square foot will be your sales estimate for the population of all Foot Locker stores during Q2. For your Q2 Sales Report, you decide to take a random sample of 64 stores. Using annual data from last year, you are able to determine that the standard deviation for sales per square foot for all 3,400 stores was $80. Therefore $80 per square foot will be your population standard deviation when compiling your Q2 report. Management has asked for the probability that your sample mean based on 64 stores is 1) within $15 and 2) within $5 of the population mean…
(Please do not give solution in image format thanku)
I have collected real data on the sale of a microwavable cup of soup across 20 different cities for the same time period (a month). The variables in the dataset are: Quantity sold in the city for that month: Measured in thousands of units Price: measured in dollars Average Income in the city: Measured in thousands of dollars Ads: Average number of ads run in stores for that city during that month. Price of a substitute product: measured in dollars Population of the city: measured in thousands of people The dataset is on Canvas and, using Excel or any other statistical software, please answer the following questions: 1. Describe the patterns in quantity sold and own and rival prices during this time period using basic descriptive statistics. Graphs are welcome as well. 2. Take the logs of the variables, and estimate the demand function. a. Interpret the R-square. b. Interpret the coefficients for logP and logPsub c. Interpret the p-values associated with each independent…

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