Significant differences in these pairs of variables

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significant differences in these pairs of variables: horsebean-casein, linseed-casein, soybean- casein, meatmeal-horsebean, soybean-horsebean, sunflower-horsebean, sunflower-linseed, and sunflower-soybean. 5
Exercise 3 The alfalfa data arise from a Latin square design in which the treatment factor is inoculum and the blocking factors are shade and irrigation. Test the significance of the effects and determine which levels of the treatment factor significantly differ.
Exercise 4 The eggprod data come from a randomized block design to determine factors affecting egg production. Is there a difference in the treatments? If so, describe the differences.
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## ## Call: ## lm(formula = eggs ~ treat + block, data = eggprod) ## ## Residuals: ## Min 1Q Median 3Q Max ## -26.667 -8.125 2.083 5.521 26.000 ## ## Coefficients: ## Estimate Std. Error t value Pr(>|t|) ## (Intercept) 369.92 13.91 26.596 1.87e-07 *** ## treatF -6.25 13.91 -0.449 0.6690 ## treatO -42.50 13.91 -3.056 0.0224 * ## block2 -32.00 16.06 -1.992 0.0934 .

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