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You will build an experiment and collect your own data using the online game Greenhouse. You may grow crops (corn, beans, and tomatoes) in this

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You will build an experiment and collect your own data using the online game Greenhouse.

You may grow crops (corn, beans, and tomatoes) in this game by experimenting with varying amounts of water, nitrogen (fertilizer), and light. with the purpose of establishing the appropriate dosages of these supplements in order to increase production and profit.

The yields (number of crops produced) in this game were designed to match models that approximate actual agricultural growth in the United States.

The yields are the number of bushels produced on each test plot, which equals a tenth of an acre of land.

After you've harvested and sold your crops, you can move on to the next step.

The table below shows some examples of values.

Income

$738.00

expense

$1,434.00

Profit

-$696.00

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Plot of Yield by Water and Colored by Crop 20 15 colour Yield Corn 10- 5 10 15 20 25 30 35 Water Call : 1m( formula = Wariable ~ XVariable) Residuals : Min 1Q Median 30 Max -3.7543 -1.9692 0.4385 1.5791 3.2127 Coefficients : Estimate Std. Error t value Pr(> |t|) (Intercept) 0.78469 1. 11975 0. 701 0. 489 XVariable 0.55570 0. 04653 11.943 1. 67e-12 * ** Signif. codes: ( ***' 0. 001 (**) 0.01 (*> 0.05 <. residual standard error: on degrees of freedom multiple r-squared: adjusted f-statistic: and df p-value: yield from linear model quadratic back water y-axis color by crop restrict cro all nitrat data set my . .. corn beans tomatoes waterplot colored colour call : im formula="Wariable" xvariable i residuals min median max coefficients estimate std. error t value pr> |t|) (Intercept) -12.477171 1. 272547 -9.805 2.16e-10 * * * XVariable 1.932896 0. 124062 15.580 5.12e-15 * ** I (XVariable^2) -0. 030604 0. 002721 -11. 246 1. 08e-11 * ** Signif. codes: ( (***' 0. 001 (**' 0.01 (*' 0.05 6. ' 0.1 ' Residual standard error: 0.9295 on 27 degrees of freedom Multiple R-squared: 0.9711, Adjusted R-squared: 0.969 F-statistic: 454.2 on 2 and 27 DF, p-value:

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