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.(a10(•••(f) Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete yourchoice.OB. For a house that is sold for $0, the predicted square footage is(Round to three decimal places as needed.)OA. For every additional thousand dollars in selling price, the square footage increases byaverage.(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.O A. No-a house of square feet is not possible.(Type an integer or a simplified fraction.)2 | 46 | - 40%LTE2OD. 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.crow.(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.The home's price isthousand.(Round to the nearest whole number as needed.)OB. No-a house of square feet is not possible and outside the scope of the model.(Type an integer or a simplified fraction.)|||OC. Yes-a house of square feet is possible and within the scope of the model.(Type an integer or a simplified fraction.)=thousand dollars.thousand 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?Osquare feet, onthe average price. The average price of a home that is 1477 square feet is $ Square Footage, x219231781077202631052860394421502507170716993718Selling Price ($000s), y378.1373.7181.9346621.5383.6601.1367.4409.1298.1257.3675.2

here first we have regression line ;

Answered: One of the biggest factors in…

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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Pls help with below homework. Explain the important concept of the ‘prediction table.’ including the difference between the diagonal cells of the table and the off-diagonal cells. Provide an example of such a table (and draw it) for a problem with two choices and 120 observations.
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Use a stem-and-leaf plot to display the data, which represent the thickness (in centimeters) of ice measured at 20 different locations on a frozen lake. Describe any patterns. 5.8 6.3 6.9 7.2 5.1 4.9 4.6 5.8 7.0 6.8 8.2 7.5 7.2 5.8 7.2 8.0 7.4 6.9 5.9 4.9 Determine the leaves in the stem-and-leaf plot below. Key: 3|3 = 3.3 Ice Thickness 6| 8 What best describes the data? A. Most thicknesses are greater than 7 centimeters. B. Most thicknesses are 6 centimeters. C. Most thicknesses are between 5 and 8 centimeters. D. Most thicknesses are less than 5 centimeters.
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Use a stem-and-leaf plot to display the data, which represent the numbers of hours 24 nurses work per week. Describe any patterns. 40 30 40 43 48 35 40 36 52 32 36 40 35 25 40 36 40 36 40 33 40 32 38 49 Determine the leaves in the stem-and-leaf plot below. Key: 313 = 33 Hours worked 2 What best describes the data? A. Most nurses work between 40 and 50 hours per week, inclusive. OB. Most nurses work over 40 hours per week. OC. Most nurses work between 30 and 40 hours per week, inclusive. OD. Most nurses work under 40 hours per week. 0
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One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below.