A real estate developer wishes to study the relationship between the size of home a client will purchase (in square feet) and othervariables. Possible independent variables include the family income, family size, whether there is a senior adult parent living with thefamily (1 for yes, O for no), and the total years of education beyond high school for the husband and wife. The sample information isreported below.Family122347?6D78910StepConstantFamily Sizet-statisticp-valueIncomet-statisticp-valueSquareFeet2,2002,300SR-SqR-Sq(adj)3,4003,360312003,0005,0002,9004,1002,5204, 2002,800Income(000s)60.868.41104.589.3992872.212.2114125.483.613395FamilySize6353SeniorParent9+2019000Education462Click here for the Excel Data Filea. Develop an appropriate multiple regression equation using stepwise regression. (Use Excel data analysis and enter number offamily members first, then their income and delete any insignificant variables. Leave no cells blank - be certain to enter "0"wherever required. Rand R2 adj are in percent values. Round your answers to 3 decimal places.)10686 b. Select all independent variables that should be in the final model. (You may select more than one answer. Single-click the box withthe question mark to produce a check mark for a correct answer and double-click the box with the question mark to empty the boxfor a wrong answer. Any boxes left with a question mark will be automatically graded as incorrect.)? Senior parent? Square feet? Family size? Income? Educationc. Write out the regression equation.Square feet =+d. Report and interpret the adjusted R².%(Family Size) +(Income)

Let Y: the home size(Square feet) is a dependent variable. The independent variables are,X1: family…

Answered: A real estate developer wishes to study…

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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Summary: This study aimed to determine whether exposure to Artificial Light At Night (ALAN) while sleeping is associated with the prevalence and risk of obesity, as previous research has shown a link between short sleep and obesity. The study involved analyzing data from 43,722 women aged 35 to 74 years in the US who had no history of cancer or cardiovascular disease and were not shift workers, daytime sleepers, or pregnant. The women reported their ALAN exposure at enrollment, and the data were analyzed from 2017 to 2018. ALAN exposure was categorized as 'No ALAN Exposure', and 'Any ALAN Exposure' (small nightlight, light outside the room, and light or television in the room). The presence of obesity was determined based on the measurement of general obesity, defined as having a body mass index (BMI) (calculated as weight in kilograms divided by height in meters squared) of 30.0 or higher. Research Question: Is artificial light at night while sleeping associated with obesity? Results:…
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