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Harvard University Regression Equation Statistics Questions

Harvard University Regression Equation Statistics Questions

Question Description

Need the following questions answered – based on the attachmentQuestion 1In this case, the dependent variable is Term 1 (MONTH OR SALES), and theindependent variable is Term 2 (MONTH OR SALES)Question 21. This model is a _____ model.A. Simple exponential trendlineB. Multiple regressionC. Simple linear trendlineQuestion 31. Use a proper regression equation to fit the data. Round theparameters of the regression equation to 4 decimal places. According toyour result of the regression, sales increases by ______% per month?Format: 100.0Question 41. Based on the regression equation, forecast the sales volume for thefirst month of year six, that is, month 61. Format: 1,000Question 51. On average, the predictions are missing by ______%. Put differently,what is the value of MAPE? Format: 100.00Question 61. The prediction errors will be in the neighborhood of Blank 1 ;Format: 1,000Blank 2 % of the variation of sales is explained by the model; Format:100.00Question 71. Use the Data Analysis add-in to obtain a linear regression, and keeptrack of the following measures of the goodness of fit:The Stand Error of the regression is Blank 1 ; format: 1,000The R Square is Blank 2 %; format: 100.00Question 81. Based on the measures of goodness of fit you obtained in question 5and 6, which regression is a better fit?A. The Exponential RegressionB. The Linear RegressionC. Indeterminate

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