# A production plant cost-control engineer is responsible for cost reduction. One of the costly items in theplant is the amount of water used by the production facilities each month. The engineer decides to investi-gate water usage by collecting seventeen observations on the plant's monthly water usage (in gallons) andother variables. Run a regression where water usage is the dependent variable and temperature (averagemonthly temperature in Fahrenheit), production in 1000 pounds, days (Number of plant operating days inthe month), and persons (Number of persons on the monthly plant payroll) are independent variables. Inter-pret all relevant output.

Question
Asked Dec 14, 2019
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 temp prod days persons water 58.8 7107 21 129 3067 65.2 6373 22 141 2828 70.9 6796 22 153 2891 77.4 9208 20 166 2994 79.3 14792 25 193 3082 81 14564 23 189 3898 71.9 11964 20 175 3502 63.9 13526 23 186 3060 54.5 12656 20 190 3211 39.5 14119 20 187 3286 44.5 16691 22 195 3542 43.6 14571 19 206 3125 56 13619 22 198 3022 64.7 14575 22 192 2922 73 14556 21 191 3950 78.9 18573 21 200 4488 79.4 15618 22 200 3295
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## Expert Answer

Step 1

The null and alternative hypotheses are stated below:

Null hypothesis: The model is ineffective.

Alternative hypothesis: The model is effective.

Step 2

Step-by-step procedure to obtain the model using MINITAB is as follows:

• Choose Stat > Regression > Regression.
• In Response, enter the variable Water.
• In Predictors, enter the variables temp...

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