Write an article based on this "Find a quiet place to train your dog. Teach the dog to watch you. Choose a release cue such as "okay", "free", or "break" to communicate to the dog that it's okay to break heel position or get up from a sit."
article: You want to eliminate distractions, so that your dog can concentrate on you easily. If you have a backyard, that is the perfect place to train your dog. Otherwise, find a quiet corner of a park with few other people or pets. If outdoors is too distracting, start inside. Gradually increase the amount of distraction as the dog learns, and be sure to practice in different places, so that the dog understands that "heel" means "heel" everywhere, not just in the backyard. This can be accomplished by simply associating a cue such as "Watch me" with a treat. Your dog will quickly learn to look at you when you use the word, as they will expect a treat. Once this has been accomplished, give treats randomly, not necessarily for every occasion, but don't stop completely. Don't rely on the leash to physically move the dog. The leash is for safety, not a means of communication. Practicing off-leash in a safe location is ideal.

Write an article based on this "Use the movement keys (W A S D by default) to move around. Look down and hold down on left-click to break the block underneath you. Get out of tight spots. Press the esc key (escape) to access the menu. Press the esc key again to exit the menu."
article: You can always change these through the options menu. You can also choose an option that makes your mouse click without pressing the clicking button. The 'W' key moves you forward, the 'S' key moves you backward, the 'A' key moves you left, and the 'D' key moves you right. You will be able to break most blocks, but some require tools. Do you feel trapped? Is there simply no way to walk out of the little hole? Just press the W key and the space bar to jump out. To sprint, either hold the control button or double tap the 'W' key. From here, you can change the controls and edit other settings such as the music volume. Now press the E key to access your inventory. This is where you items will be stored. However, you can only carry so many items, so you will need to make some sort of storage unit.

Write an article based on this "Create a five column data table. Enter the data values for your measured data. Calculate a regression line. Calculate predicted values from the regression line."
article:
Any statistical work is generally made easier by having your data in a concise format. A simple table serves this purpose very well. To calculate the standard error of estimate, you will be using five different measurements or calculations. Therefore, creating a five-column table is helpful. Label the five columns as follows: x{\displaystyle x} y{\displaystyle y} y{\displaystyle y^{\prime }} yy{\displaystyle y-y^{\prime }} (yy)2{\displaystyle (y-y^{\prime })^{2}} Note that the table shown in the image above performs the opposite subtractions, yy{\displaystyle y^{\prime }-y}. The more standard order, however, is yy{\displaystyle y-y^{\prime }}. Because the values in the final column are squared, the negative is not problematic and will not change the outcome. Nevertheless, you should recognize that the more standard calculation is yy{\displaystyle y-y^{\prime }}. After collecting your data, you will have pairs of data values. For these statistical calculations, the independent variable is labeled x{\displaystyle x} and the dependent, or resulting, variable is y{\displaystyle y}. Enter these values into the first two columns of your data table. The order of the data and the pairing is important for these calculations. You need to be careful to keep your paired data points together in order. For the sample calculations shown above, the data pairs are as follows: (1,2) (2,4) (3,5) (4,4) (5,5) Using your data results, you will be able to calculate a regression line. This is also called a line of best fit or the least squares line. The calculation is tedious but can be done by hand. Alternatively, you can use a handheld graphing calculator or some online programs that will quickly calculate a best fit line using your data. For this article, it is assumed that you will have the regression line equation available or that it has been predicted by some prior means. For the sample data set in the image above, the regression line is y=0.6x+2.2{\displaystyle y^{\prime }=0.6x+2.2}. Using the equation of that line, you can calculate predicted y-values for each x-value in your study, or for other theoretical x-values that you did not measure. Using the equation of the regression line, calculate or "predict" values of y{\displaystyle y^{\prime }} for each value of x. Insert the x-value into the equation, and find the result for y{\displaystyle y^{\prime }} as follows: y=0.6x+2.2{\displaystyle y^{\prime }=0.6x+2.2} y(1)=0.6(1)+2.2=2.8{\displaystyle y^{\prime }(1)=0.6(1)+2.2=2.8} y(2)=0.6(2)+2.2=3.4{\displaystyle y^{\prime }(2)=0.6(2)+2.2=3.4} y(3)=0.6(3)+2.2=4.0{\displaystyle y^{\prime }(3)=0.6(3)+2.2=4.0} y(4)=0.6(4)+2.2=4.6{\displaystyle y^{\prime }(4)=0.6(4)+2.2=4.6} y(5)=0.6(5)+2.2=5.2{\displaystyle y^{\prime }(5)=0.6(5)+2.2=5.2}