A large discount department store chain advertises on television (X₁), and on the radio (X₂). A sampleof 12 of its stores in the certain area showed expenditures and revenues during a given month. Allfigures are in thousands of dollars. The dataset is summarised below.TelevisionadvertisingX'X =X'Y =a)b)c)d)e)12115 11916476393Radio advertising Television & Radio advertisingX'X =X'Y =1268 41064738680.109897957(X'X) = -0.0018105630.000189003-0.001625893 -0.00000012663 0.000287136Y'Y=39973 and b₁ =-10.11045936]1.956197151 and Σ.Χ.Χ, = 6547.990629999Interpret the given slopes.Use the given information to find X'Y for the two independent variables (i.e. Television &Radio advertising).(1)Regardless of the results of the overall regression significance test, test for the significance ofthe individual predictors using the partial F-test.Based on your findings from c) what is your final model?Based on your final model from d) what will be the matrix of X?

Answered: A large discount department store chain…

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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THIS IS ENGINEERING DATA ANALYSIS 1. Given the following: c = 5, x1 = 7, x2 = 8, x3 = 10, x4 = 11, x5 =13, y1 = 5, y2 = 7, y3 = 9, y4 = 11, y5 = 13.Evaluate the following:
You were asked to help with analysis of birth weights (BW) of 10,000 infants born in NYC during a certain period of time. The aim of the analysis is to see whether the birth weights of the infants are associated with mothers AGE at birth (continuous variable in years) and mothers smoking status (the maternal smoking status MSS contains 4 categories “Non-smoker”, “Past-smoker”, “Passive-smoker”, “Smoker”) and NYC boroughs (the BOROUGH variable contains 5 categories “Manhattan”, “Bronx”, “Brooklyn”, “Queens” and “Staten Island”). Questions: 1.Write down the population model that estimates BW based on variables AGE and BOROUGH(with the dummy variables). Make sure that it is clear what each predictor means. 2.How many parallel lines are computed by model from population model you created above? 3.Write down the population model that estimates BW based on variables AGE, MSS(with their dummy variables) and BOROUGH(with their dummy variables). Also write down the number of parrallel lines.…
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