square relationships, sine and cosine relationships, but for our data I think a linear …, relationship fits it best so I will draw in a line of best fit. To do this there is no real good way, just use a ruler and try and get as many points above the line as below it. No two people will get exactly the same line this way. Our graph now looks like this : It is still not finished. We need a title. Step 4 : The Title No graph is complete without a title. Now when we talk about a title in science we mean a descriptive title not a literary title, save that for English class. Titling this graph Relationship Between Most Excellent Test Scores and the “A Glorious Amount of would not be an appropriate title. Blissful Sleep One Has Received.” A quick way to title a graph is the write it as Dependent Variable vs Independent Variable. Yes it is boring but it does the job. Our title will be Test Score vs Sleep “ Time” Our complete graph now looks like this : Analyzing this Graph What does this graph tell you. If you are honest it tells you the trend is that people who get more sleep seem to get higher test scores. Once again if you are honest, this seems logical. Also notice that not all the data points exhibit this trend, it is only all the points taken together. We can also look at our line of best fit and predict from it. For instance it seems that if I sleep 8 hours I should be able to score 100 on the test. I do need to caution you at this point, because the amount of sleep is not the only thing which affects test scores, and we need to be aware of this as we analyze our graph. Finally we can write an equation for our line of best fit, to do this we need to find the slope and the y - intercept.
square relationships, sine and cosine relationships, …, but for our data I think a linear relationship fits it best so I will draw in a line of best fit. To do this there is no real good way, just use a ruler and try and get as many points above the line as below it. No two people will get exactly the same line this way. Our graph now looks like this : It is still not finished. We need a title. Step 4 : The Title No graph is complete without a title. Now when we talk about a title in science we mean a descriptive title not a literary title, save that for English class. Titling this graph “A Glorious Relationship Between Most Excellent Test Scores and the Amount of Blissful Sleep One Has Received.” would not be an appropriate title. A quick way to title a graph is the write it as Dependent Variable vs Independent Variable. Yes it is boring but it does the job. Our title will be “ Test Score vs Sleep Time” Our complete graph now looks like this : Analyzing this Graph What does this graph tell you. If you are honest it tells you the trend is that people who get more sleep seem to get higher test scores. Once again if you are honest, this seems logical. Also notice that not all the data points exhibit this trend, it is only all the points taken together. We can also look at our line of best fit and predict from it. For instance it seems that if I sleep 8 hours I should be able to score 100 on the test. I do need to caution you at this point, because the amount of sleep is not the only thing which affects test scores, and we need to be aware of this as we analyze our graph. Finally we can write an equation for our line of best fit, to do this we need to find the slope and the y - intercept.
Graphing%20Packet%20-0.docx