118. COFFEE SALES Owners of a new coffee shop tracked sales for the first 20 days and displayedthe data in a scatterplot (by day).Sales ($100)5÷32TT4●8...12Day16 20a. Make a histogram of the daily sales since the shop has been in business.b. State one fact that is obvious from the scatterplot, but not from the histogram.c. State one fact that is obvious from the histogram, but not from the scatterplot.

Answered: Image /qna-images/answer/316dc26f-20f9-4e88-b146-875c77546941.jpg

Answered: 1 18. COFFEE SALES Owners of a new…

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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L6Q7.Which of the following tables shows the data in the scatter plot below?
OA. The scatterplot indicates there is a negative, strong, linear relationship between Median Salary and Annual Sales. OB. The scatterplot indicates there is a negative, weak, linear relationship between Median Salary and Annual Sales. OC. The scatterplot indicates there is a positive, strong, linear relationship between Median Salary and Annual Sales. OD. The scatterplot indicates there is a positive, weak, linear relationship between Median Salary and Annual Sales. OE. The scatterplot indicates there is no relationship between Median Salary and Annual Sales.
Solve. 4) Construct a box plot from the data below. 20 25 26 26 26 272933 41 43 45 46 47 4850 50 50 51 53 55 57 60 61 62 63
L. Construct the scatter plot of the given table using MS Excel or manually draw a scatter plot. Identify the type of association. Attached the paper the contains the scatter plot in this activity sheet. 1. The table below shows the number of hours of study of 6 students and their corresponding grades Hours of Study (X) Grade (V) 6 82 Student A B C D E F 2 1 5 2 3 57 88 68 75
For major league baseball teams, is there a relationship between player payrolls and gate money? Here are data for each of the American League teams for the year 2000. The variable x denotes the 2000 player payroll (in millions of dollars), and the variable y denotes the mean attendance (in thousands of fans) for the 81 home games that year. The data are plotted in the Figure 1 scatter plot. Also given is the product of the player payroll and the mean attendance for each of the fourteen teams. (These products, written in the column labelled "xy", may aid in calculations.) Anaheim Baltimore Boston Chicago White Sox Cleveland Detroit Kansas City Minnesota Mean Player payroll, x attendance, y (in $1,000,000s) thousands) New York Yankees Oakland Seattle Tampa Bay Texas Toronto Send data to calculator 59.2 80.5 97.0 42.3 90.5 68.6 31.8 23.5 114.3 43.0 69.9 65.2 72.7 66.8 25.56 40.74 31.98 24.07 42.72 31.23 20.74 13.09 39.88 21.36 38.89 18.27 34.57 22.47 xy x 1513.152 3279.57 3102.06…
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1. Create a histogram for the data for time spent studying. 2. Create a scatter plot to show the relationship of time spent studying and exams score. 1. Looking at the scatter plot, describe the relationship between the two variables, (identify the direction and magnitude)
Questions teenagers spend o0 O jWhat' percent of students playedn petween 6 and 8 hours per udeo gamesperoek? Belowis a box plot representating hours that teanadersspend games per week on uldeo
The table shows total earnings, y (in dollars ), of a food x,0,1,2,3,4,5,6 y,0,18,40,62,77,85,113 a. Make a scatter plot. b. What type of correlation is shown in the gra
Use the example of temperature and the amount of ice cream sold in a city each day, we are interested in creating an equation that will allow us to predict the amount of ice cream that are sold in the future simply by knowing temperature. (Please fill out the red blanks with appropriate numbers randomly.) a. Construct a scatter plot of the data. What should the independent variable be? Why? b. Find the values and discuss what the following mean in context.i. The slope of the regression equationii. The y-intercept of the regression equationiii. The correlation riv. The coefficient of determination r2. c. Do the data provide convincing evidence that there is a linear relationship between temperature and the amount of ice cream Carry out an appropriate test at a significance level of 0.05 to help answer this question.
Given the scatter plot below, which of the following describes the strength and direction of the data? 10 Weak negative correlation Strong negative correlation Strong positive correlation Weak positive correlation

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