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An agent for a residential real estate company in a large city would like to be able to predict the monthly rental cost for apartments, based on the size of the apartments as defined by square footage.  A sample of 14 apartments in a particular residential neighbourhood was selected, and the information gathered revealed the following: APARTMENT MONTHLY RENT ($) SIZE (SQUARE FEET) 1 950 850 2 1600 1450 3 1200 1085 4 1500 1232 5 950 718 6 1700 1485 7 1650 1136 8 935 726 9 875 700 10 1150 956 11 1400 1100 12 1650 1285 13 2300 1985 14 1800 1369 Do Normality Test and Linearity test, what did you find from these tests ? explain

An agent for a residential real estate company in a large city would like to be able to predict the monthly rental cost for apartments, based on the size of the apartments as defined by square footage.  A sample of 14 apartments in a particular residential neighbourhood was selected, and the information gathered revealed the following: APARTMENT MONTHLY RENT ($) SIZE (SQUARE FEET) 1 950 850 2 1600 1450 3 1200 1085 4 1500 1232 5 950 718 6 1700 1485 7 1650 1136 8 935 726 9 875 700 10 1150 956 11 1400 1100 12 1650 1285 13 2300 1985 14 1800 1369 Do Normality Test and Linearity test, what did you find from these tests ? explain

MATLAB: An Introduction with Applications
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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  1. RESEARCH ANALYSIS  AND PUBLICATION (LOB7) BATCH 27

    An agent for a residential real estate company in a large city would like to be able to predict the monthly rental cost for apartments, based on the size of the apartments as defined by square footage.  A sample of 14 apartments in a particular residential neighbourhood was selected, and the information gathered revealed the following:

    APARTMENT

    MONTHLY RENT

    ($)

    SIZE

    (SQUARE FEET)

    1

    950

    850

    2

    1600

    1450

    3

    1200

    1085

    4

    1500

    1232

    5

    950

    718

    6

    1700

    1485

    7

    1650

    1136

    8

    935

    726

    9

    875

    700

    10

    1150

    956

    11

    1400

    1100

    12

    1650

    1285

    13

    2300

    1985

    14

    1800

    1369
    1. Do Normality Test and Linearity test, what did you find from these tests ? explain
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