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Use the Manufacturing database from “Excel Databases.xls” (Google drive link below). Use Excel to develop a...

Use the Manufacturing database from “Excel Databases.xls” (Google drive link below). Use Excel to develop a multiple regression model to predict Cost of Materials by Number of Employees, Number of Products, Value Added by Manufacture, New Capital Expenditures, and End-of-Year Inventories. Does multicollinearity seem to be a problem in this analysis? Use Excel to create the correlation matrix that includes all 5 of the independent variables in this study. Which two independent variables have the highest correlation? Select 2 answers below.

Number of Employees

Number of Products

Value Added by Manufacture

New Capital Expenditures

End-of-Year Inventories

https://drive.google.com/open?id=1zrtbBjnYdb1UIYSyr7nn7FP6gPuDuPXu

math   Statistics-And-Probability   
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Answer #1

the correlation matrix is

No. Emp. No. Prod. Wkrs. Value Added by Mfg. New Cap. Exp. End Yr. Inven. No. Emp. 1 No. Prod. Wkrs. 0.968542147 1 Value Adde

From the above matrix highest correlation 0.9685 is the highest correlation between two variables

No. of products and No. of employees

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