Many companies manufacture products that are at least partially produced using chemicals

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Many companies manufacture products that are at least partially produced using chemicals (e.g., paint, gasoline, and steel). In many cases, the quality of the finished product is a function of the temperature and pressure at which the chemical reactions take place. Suppose that a particular manufacturer wants to model the quality (Y) of a product as a function of the temperature (X1) and the pressure (X2) at which it is produced. The file P14_41.xlsx contains data obtained from a carefully designed experiment involving these variables. Note that the assigned quality score can range from a minimum of 0 to a maximum of 100 for each manufactured product.
 
a. Estimate a multiple regression equation that includes the two given explanatory variables. Does the estimated equation fit the data well?
 
b. Add an interaction term between temperature and pressure (the product of these two variables) and run the regression again. Does the inclusion of the interaction term improve the model's goodness of fit?
 
c. Interpret each of the estimated coefficients in the two equations. How are they different? How do you interpret the coefficient for the interaction term in the second equation?
ProductQuality (Y)Temperature (X1)Pressure (X2)X1 X2
171.390605400
273.080604800
370.990605400
473.2100555500
597.490554950
663.490504500
769.8100555500
842.5100606000
961.690504500
1046.4100505000
1171.280604800
1246.6100505000
1372.5100555500
1493.780554400
1549.1100505000
1650.780504000
1738.7100606000
1890.980554400
1974.580604800
2041.4100606000
2193.890554950
2268.890605400
2363.490504500
2449.480504000
2550.880504000
2690.980554400
2792.190554950
    • 11 years ago
    Many companies manufacture products that are at least partially produced using chemicals
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