Answer the following question. Question-1: The objective of a study is to produce a multiple regression model to predict sales of cottonfabric. The explanatory variables areX,Whole sale price indexQuantity of Imported Fabricх,Quantity of Exported Fabricx.TimePart of a computer output from the estimated regression based on 28 observations is shown below:PredictorConstantCoeff StdDev88762295X,-2425-62.5X,0.50.26370Analysis of VarianceSourceRegressionErrorSS21080142622506Totala) Write down the estimated regression equation and interpretthe estimated regression coefficientsfor X, and X3.b) Suppose we drop the variable 14 from the model. The reduced regression model has XI , X2 and13 as explanatory variables. The reduced model has R? = 0.9. Test if the reduced regression modelis significant or not at significance level 0.05.c) Suppose you believe that the quantity of cotton fabric sold may also be impacted by how cold theweather is. Furthermore, suppose you have classified the weather in three categories, cold, normal,warm. Design a regression model that allows for the new variables and show how you test yourhypothesis.

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The objective of a study is to produce a multiple regression model to predict sales of cotton xplanatory variables are

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 2AGP

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