Article: Cigarette butts, half-smoked cigars, and ash can leave a strong lingering smell of tobacco indoors. Throwing the butts and ashes into indoor trash bins will only transfer the smell into another room. Dispose of the butts and the ashes in a bag and move the bag outside. This will eliminate some of the initial smell. If you have ashtrays, wash them with warm water and dish soap to fully remove the smell. The more that you ventilate the room, the less it will smell like tobacco. Turn on all the fans in the room that you're in. If there isn't a ceiling fan, get desk fans and point them so that they blow air out of your windows. Fill a small bowl with 2 cups (473.17 ml) of white vinegar. Dampen a rag or washcloth in the vinegar and then ring it out so that it doesn't drip in your house. Go to the room where the tobacco smell is. Wave the damp rag around your head to remove some of the initial tobacco smell. Purchase an air freshener from a department store or online and spray it in the affected rooms. This is a good quick fix if you don't have time to clean your house and have to get rid of the tobacco smell quickly.  Certain commercial products like Vamoose and OdoBan are created specifically to remove tobacco smells.  You can also use a scented candle or incense to mask the smell. If you were the one smoking, or you've been handling the ash or butts of cigars or cigarettes, your hands can smell like tobacco. To remove the scent from yourself, brush your teeth and wash your hands. Pour 2 cups (473.17 ml) of white vinegar into a bucket and add a half-gallon (7.57 l) of warm water to it. Dip a rag into the solution or put the solution into a spray bottle. Use this solution to wipe down the floors, walls, and upholstery. The vinegar smell should dissipate over time.
Question: What is a summary of what this article is about?
Throw away cigarette butts and ash. Open up all the windows and run fans. Dampen a dishrag with vinegar and wave it in the air. Use an air freshener to try to mask the smell. Brush your teeth and wash your hands. Wipe down the walls and upholstery with vinegar and water.

Problem: Article: You’ll usually find it in the app drawer or by pulling down the notification bar at the top of the screen. It’s under the “Wireless & networks” header.  Once you set up your hotspot, other devices will be able to use your Android as a wireless access point if this switch is on.  This is the access point name that other devices will connect to. Tap the blank under “Password” to type a password others must enter to access your connection. Passwords must have at least 8 characters. If you want to share your Android’s current Wi-Fi connection, slide the “Wi-Fi sharing” switch to the On position. Now that you’ve enabled your hotspot, other devices can connect to your Android to access the internet. On another device, select the network name you just created, then enter the password when prompted. As long as the Android running the hotspot can access the internet, this other device should as well.
Summary: Open your Android’s Settings . Tap More. Tap Tethering and portable hotspot. Slide the “Portable Wi-Fi hotspot” switch to On . Tap Set up Wi-Fi hotspot. Type a network name for your hotspot. Set a password. Tap Save. Connect another device to the hotspot.

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 }} y−y′{\displaystyle y-y^{\prime }} (y−y′)2{\displaystyle (y-y^{\prime })^{2}} Note that the table shown in the image above performs the opposite subtractions, y′−y{\displaystyle y^{\prime }-y}. The more standard order, however, is y−y′{\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 y−y′{\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}
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One-sentence summary --
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.