6:56(a) Which variable is the explanatory variable?One 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.Square FootageSelling Price(b) Draw a scatter diagram of the data. Choose the correct scatter diagram below.O A.АУ4500-1000-...m10004500Data TableSquare Footage, x214832311177198830642735414622152625162917733887PrintB.AX4500+1000+150● ↓|||=750Done(c) Determine the linear correlation coefficient between square footage and asking price.r = 0.905B. No a house of square feet is not possible.(Type an integer or a simplified fraction.)Ау750-Selling Price ($000s), y D371.1382.2197.6339.9614.9364.7632.7377.7427.5285.9268.9701.4150+1000A. No-a house ofsquare feet is outside the scope of the model(Type an integer or a simplified fraction.)Vo) 1LE2 ... 46 ...O-4500QOD. Yes-a house of square feet is possible and within the scope of the model.(Type an integer or a simplified fraction.)O E. More information about the houses is necessary before deciding.D.750-150+fiable.lars.C. No-a house ofsquare feet is not possible and outside the scope of the model.(Type an integer or a simplified fraction.)Ау1000ses by(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.54%al place as needed.)er box to complete your4500dollars, on average.square feet, on

The independent variable is Square Footage. The dependent variable is Selling Price. Square…

Answered: Square Footage, x 2148 3231 1177 1988…

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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Square Footage, x 2148 3231 1177 1988 3064 2735 4146 2215 2625 1629 1773 3887 Selling Price ($000s), y 371.1 382.2 197.6 339.9 614.9 364.7 632.7 377.7 427.5 285.9 268.9 701.4