This scatterplot shows the relationship between tons of freight and tons of mail transported at 135 large and medium sized airports.escMail140000120000100000000006000040000200000 50000 100000 150000 200000 250000 300000 350000FreightDescribe the association between these variables completely and in context.Edit View Insert Format Table12pt Paragraph19aaltZ@2SXBIUA 2 T²#3DOed$4f%5t9DELLOllA6yJUbh&7Oun*8j✓ ✓Vim(9k佃く描く届く To EO<.O1alt4PV=:ctrl(+=?"1(1)backs

From the given scatter plot Describe the association between tons of freight and tons of mails…

Answered: This scatterplot shows the relationship…

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 following data give the percentage of women working in five companies in the retail and trade industry. The percentage of management jobs held by women in each company is also shown. % Working 67 45 73 54 61 % Management 50 23 63 47 34 (a) Develop a scatter diagram for these data with the percentage of women working in the company as the independent variable. A scatter diagram has 5 points plotted on it. The horizontal axis ranges from 40 to 75 and is labeled: % Working. The vertical axis ranges from 0 to 70 and is labeled: % Management. The first three points are plotted from left to right in an downward, diagonal direction starting in the upper left corner of the diagram. The fourth point extends upward in a diagonal direction to the right. The last point then extends downward from the fourth point in a diagonal direction to the right. The points are between 23 to 63 on the vertical axis. A scatter diagram has 5 points plotted on it. The horizontal axis ranges…
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
#10
Most supermarkets use scanners at the checkout counters. The data collected this way can be used to evaluate the effect of price and store's promotional activities on the sales of any product. The promotions at a store change weekly, and are mainly of two types: flyers distributed outside the store and through newspapers (which may or may not include that particular product), and in-store displays at the end of an aisle that call the customers' attention to the product. Weekly data was collected on a particular beverage brand, including sales (in number of units), price (in dollars), flyer (1 if product appeared that week, 0 if it didn't) and display (1 if a special display of the product was used that week, 0 if it wasn't).As a preliminary analysis, a simple linear regression model was done. The fitted regression equation was: sales = 2259 - 1418 price. The ANOVA F test p-value was .000, and r squared = 59.7%.According to this model, how many units will be sold, on average, when the…
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I just need the 2 bottom ones (:
2.4 terlashow Worksheet 4.5 3. A car dealership is analyzing the changes in its monthly sales. They sold 40 cars in March, 55 in April, 61 in May, 29 in June, 63 in July, and 40 in August. Create line graph that represents this data. emait yerty bisz Sanco efimy svib AI 360 bar & svart 0.160 and to toloo er viunebi of bades new sinobuta SA 160 salsa.nolo3 1aritons esw 163 tiert bisz gniniemen sdt bns as old sved Ofic nong saved stab aid atangan ter dos
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