Business, 13.10.2020 04:01 menakri53

A manufacturing plant makes two different types of products. Product A has a profit of $50 and product B has a profit of $60. Product A requires 10 hours of labor and product B requires 12 hours of labor. Product A requires 20 KWs of power to make, while Product B requires 10 KWs of power to make. The plant cannot make more than 30 of product B each month due to market saturation. There are a total of 900 labor hours and a total of 1000 KW of power available each month. A manufacturing process is suspected to be affected by the level of humidity. Humidity and scrap data was taken on several days. Required:
a. Use the least squares regression method to determine a prediction equation for the data.
b. Determine the equation first by using matrix calculations and then using the regression data analysis tool. What is the r squared value? The company would like to know what would happen to the scrap level if the level of humidity level reaches 0.60 (60%). Is the model a good indicator of the effects of humidity on scrap?

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A manufacturing plant makes two different types of products. Product A has a profit of $50 and produ...

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