Square Footage, x219231781077202631052860394421502507170716993718Selling Price ($000s), y378.1373.7181.9346621.5383.6601.1367.4409.1298.1257.3675.2 11:59KOne of the biggest factors in determining the value of a home is the square footage. The accompanying datarepresent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in acertain region. Complete parts (a) through (h) below.Click the icon to view the housing data.(a) Which variable is the explanatory variable?Square FootageSelling Price(b) Draw a scatter diagram of the data. Choose the correct scatter diagram below.A.Ax4000-1000-150●●·•YesNo●700B.Ay700-150+1000H4000QАу(Round to three decimal places as needed.)(d) Is there a linear relation between square footage and asking price?|||700-(c) Determine the linear correlation coefficient between square footage and asking price.=150+1000O A. No-a house of square feet is not possible.(Type an integer or a simplified fraction.)HOB. For a house that is sold for $0, the predicted square footage is(Round to three decimal places as needed.)OC. For a house that is 0 square feet, the predicted selling price is(Round to three decimal places as needed.)OD. For every additional square foot, the selling price increases by(Round to three decimal places as needed.)OE. It is not appropriate to interpret the slope.The home's price isthousand.(Round to the nearest whole number as needed.)Vol 4G 40%LTE2(e) Find the least-squares regression line treating square footage as the explanatory variable.ŷ=x+(Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.)OA. For every additional thousand dollars in selling price, the square footage increases byaverage.(Round to three decimal places as needed.)4000(f) Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete yourchoice.OD. No-a house of square feet is outside the scope of the model(Type an integer or a simplified fraction.)O E. More information about the houses is necessary before deciding.OOC. Yes-a house of square feet is possible and within the scope of the model.(Type an integer or a simplified fraction.)D.4000-OB. No-a house of square feet is not possible and outside the scope of the model.(Type an integer or a simplified fraction.)1000-Aythousand dollars.(g) Is it reasonable to interpret the y-intercept? Why? Select the correct choice below and, if necessary, fill in theanswer box to complete your choice.1000thousand dollars, on average.(h) One home that is 1477 square feet is sold for $225 thousand. Is this home's price above or below average for ahome of this size?4000square feet, onthe average price. The average price of a home that is 1477 square feet is $

Answered: Image /qna-images/answer/025e40d6-18ac-45ee-8170-50a7f7b442f2.jpg

Answered: (a) Which variable is the explanatory…

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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A researcher wants to determine if the exam scores of the students are dependent on the length of time spent in studying the subject. Ten students in a certain class were taken and the results are shown in the table below where X is the time spent in studying the subject in hours and Y is the examination scores. (Copy-paste the data and run the analysis using MS Excel). X (time) Y (score) 1.5 80 3.0 83 1.25 83 0.5 70 3.5 85 2.5 75 1.0 70 3.0 90 2.5 86 4.0 91 Predict the examination score (rounded to the nearest integer) of a student who spends 2 hours in studying the subject.
Correct Construct a histogram that represents the following data regarding the selling prices of houšes sold in 2006 for a particular neighborhood. Prices of Houses Class Frequency 99630-119629 119630-139629 4 139630-159629 159630-179629 3. 179630-199629 8. Step 2 of 5: Find the upper class. boundary for the third class.
Match the correlation coefficients with their scatterplots. Select the letter of the scatterplot below which corresponds to the correlation coefficient. (Click on image for a larger view.) B v 1. r = -0.74 с A ✓ 2. r = -0.49 3. r = -0.97 4. r = 0.76 A B D
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Match the coefficient of determination to the scatter diagram. The scales on the x-axis and y-axis are the same for each scatter diagram. (a) R2=0.12, (b) R2=0.90, (a) Scatter diagram . (b) Scatter diagram . (c) Scatter diagram
Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. x 3 7 15 32 75 y 40 35 30 26 18 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? positive or negative? strong and negative moderate and negative strong and positive low and negative low and positive moderate and positive (c) Use a calculator to verify that Σx = 132, Σx2 = 6932, Σy = 149, Σy2 = 4725, and Σxy = 2997. Compute r. (Round your answer to three decimal places.)r = As x increases, does the value of r imply that y should tend to increase or decrease? Explain. Given our value of r, we cannot draw any conclusions for the behavior of y as x increases. Given our value of r, y should tend to…
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Match the correlation coefficients with their scatterplots. Select the letter of the scatterplot below which corresponds to the correlation coefficient. (Click on image for a larger view.) B < 1. r = -0.49 A 2. r = 0.97 D ✓ 3. r = 0.22 4. r = -0.74 A B D
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E Use a stem-and-leaf plot that has two rows for each stem to display the data, which represent the income (in millions) of 30 of the highest paid athletes. Describe any patterns. 76 45 34 35 36 44 50 35 56 56 44 43 81 53 38 73 68 46 63 38 87 34 34 42 45 58 Determine the leaves in the stem-and-leaf plot below. Key: 313-33 Income ($ millions) 3 What best describes the data? 站 F2 R OA. Most of the incomes are less than 60 million dollars. OB. Most of the incomes are between 50 and 70 million dollars. OC. The incomes are evenly spread between 30 and 90 million dollars. OD. Most of the incomes are greater than 60 million dollars. V % 5 F4 T G B Y H N F5 46 53 U J 37 41 F6 ( 8 M K 9 F8 L P Alt Gr DELL F9 N F10 TE F11 1 T F12 - Intro Power Impant Sleep Pet Sis Insert Blog Despl Wake ONLOFF Supr Inicio
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A, B, C, or D?

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