Write an article based on this "Calculate the error of each predicted value. Calculate the squares of the errors. Find the sum of the squared errors (SSE). Finalize your calculations. Interpret your result."
article: In the fourth column of your data table, you will calculate and record the error of each predicted value. Specifically, subtract the predicted value (y′{\displaystyle y^{\prime }}) from the actual observed value (y{\displaystyle y}). For the data in the sample set, these calculations are as follows:  y(x)−y′(x){\displaystyle y(x)-y^{\prime }(x)} y(1)−y′(1)=2−2.8=−0.8{\displaystyle y(1)-y^{\prime }(1)=2-2.8=-0.8} y(2)−y′(2)=4−3.4=0.6{\displaystyle y(2)-y^{\prime }(2)=4-3.4=0.6} y(3)−y′(3)=5−4=1{\displaystyle y(3)-y^{\prime }(3)=5-4=1} y(4)−y′(4)=4−4.6=−0.6{\displaystyle y(4)-y^{\prime }(4)=4-4.6=-0.6} y(5)−y′(5)=5−5.2=−0.2{\displaystyle y(5)-y^{\prime }(5)=5-5.2=-0.2} Take each value in the fourth column and square it by multiplying it by itself. Fill in these results in the final column of your data table. For the sample data set, these calculations are as follows:  −0.82=0.64{\displaystyle -0.8^{2}=0.64} 0.62=0.36{\displaystyle 0.6^{2}=0.36} 12=1.0{\displaystyle 1^{2}=1.0} −0.6=0.36{\displaystyle -0.6=0.36} −0.2=0.04{\displaystyle -0.2=0.04} The statistical value known as the sum of squared errors (SSE) is a useful step in finding standard deviation, variance and other measurements. To find the SSE from your data table, add the values in the fifth column of your data table. For this sample data set, this calculation is as follows: 0.64+0.36+1.0+0.36+0.04=2.4{\displaystyle 0.64+0.36+1.0+0.36+0.04=2.4} The Standard Error of the Estimate is the square root of the average of the SSE. It is generally represented with the Greek letter σ{\displaystyle \sigma }. Therefore, the first calculation is to divide the SSE score by the number of measured data points. Then, find the square root of that result.  If the measured data represents an entire population, then you will find the average by dividing by N, the number of data points. However, if you are working with a smaller sample set of the population, then substitute N-2 in the denominator. For the sample data set in this article, we can assume that it is a sample set and not a population, just because there are only 5 data values. Therefore, calculate the Standard Error of the Estimate as follows:  σ=2.45−2{\displaystyle \sigma ={\sqrt {\frac {2.4}{5-2}}}} σ=2.43{\displaystyle \sigma ={\sqrt {\frac {2.4}{3}}}} σ=0.8{\displaystyle \sigma ={\sqrt {0.8}}} σ=0.894{\displaystyle \sigma =0.894} The Standard Error of the Estimate is a statistical figure that tells you how well your measured data relates to a theoretical straight line, the line of regression. A score of 0 would mean a perfect match, that every measured data point fell directly on the line. Widely scattered data will have a much higher score. With this small sample set, the standard error score of 0.894 is quite low and represents well organized data results.

Write an article based on this "Pour 12 ounces (340 g) of white glue into a bowl. Use Borax to activate your slime instead (optional). Let it sit for two days. Remove the slime and enjoy!"
article: Make sure you’re using white liquid glue--it won’t work with gel glue, paste, or glue sticks! You can find white glue online or anywhere that sells school supplies. Most white glue containers are 6 ounces (170 g), so you can just pour out two bottles. Borax will also work as an activator. If you want to use borax, mix 1 teaspoon (4.9 ml) with 1⁄2 cup (120 ml) water first before adding it. But be careful--borax can cause burns if activated with certain chemicals! Seal up your slime and let it sit for two days. This will give the crunchy bubbles time to develop. You can let it sit longer, but don’t wait more than a week or so. After two days, take the slime out and have fun crunching the bubbles! You can roll it into a ball, stretch it out, or just enjoy squeezing and poking at the bubbles. It will last for up to three or four weeks.

Write an article based on this "Know what a finance charge is. Figure out which method your bank uses. Gather the necessary numbers."
article:
Credit card terms can be confusing to navigate for many, so understand what a finance charge is and how it affects you.  A finance charge is what allows credit card companies and lenders to make a profit off of you. It's more or less a fee charged for the use of your credit card. Finance charges on credit cards, mortgages and car loans have ranges that depend on a borrower's credit score.  A finance charges is the total cost of borrowing, including interest, fees, and any other charges the borrower pays.  Knowing the finance charge of your credit card can help you budget better and determine how much money you're really saving with a particular credit card. Most banks calculate a finance charge using one of two methods: one-cycle finance charge including purchases, or one-cycle finance charge not including purchases. The methods require a different means of calculation. The name of the methods your creditors use should be listed somewhere on your monthly statement. You need to identify the method before you proceed to calculate your score. A variety of numbers go into each equation for calculating a finance charge. Before you sit down and being punching numbers into your calculator, make sure you know the following information:  The outstanding balance on your credit card. That is, the total amount you owe.  The number of days in each billing cycle. Please note, that depending on the method your bank uses you may need to calculate new purchases into your outstanding balance and not just go off of whatever's written on your bill.