U4_Overview_Statistics.doc

U4_Overview_Statistics.doc - Day 1: SCATTER PLOTS Day 2:...

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Day 3: LINEAR AND NON-LINEAR RELATIONS A linear relation produces a fairly straight line on a graph. You can draw a straight line to show the relation, called a line of best fit. This line should have about the same number of points above and below it. A non-linear relation does not produce a straight line on a graph. You can draw a smooth curve to represent the data, called a curve of best fit. You can use the line or curve of best fit to interpolate (estimate a value that is between points in the data). You can extend the line or curve of best fit to extrapolate (estimate a value that is beyond the data points). Day 1: SCATTER PLOTS A scatter plot is a graph with points plotted to show the relationship between two variables. The variable that affects the other variable is called the independent variable, and goes on the x-axis (horizontal). The variable that is affected by (or depends on) the other variable is called the dependent variable, and goes on the y-axis. You can describe the relationship on a graph by saying how the independent variable affects the dependent variable. Ex As the number of days in the holidays increases, the weight increases. Day 2: CORRELATION Trends (also known as correlations) refer to patterns in data. A correlation can be either upward or downward. Upward Correlation Downward Correlation Correlations can also be strong or weak, depending on how clearly the points are going in a direction. Both graphs above have strong
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U4_Overview_Statistics.doc - Day 1: SCATTER PLOTS Day 2:...

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