diff --git a/Grade 9/Math/MFM1P1/Final_Exam_Study_Sheet.md b/Grade 9/Math/MFM1P1/Final_Exam_Study_Sheet.md index 587464d..eafa056 100644 --- a/Grade 9/Math/MFM1P1/Final_Exam_Study_Sheet.md +++ b/Grade 9/Math/MFM1P1/Final_Exam_Study_Sheet.md @@ -297,4 +297,42 @@ - Simply divide the first number by the second number, and multiply by one `100`. It is the same as making the ratio into a fraction, then converting the fraction into a percentage. - \ No newline at end of file +# Unit 6: Graphing Relations + +## Definitions +- `relation`: describes how one variable is connected to another. +- `Axis` (plural is axes): + - Vertical: used for **dependent** variable. + - Horizontal: used for **independent** variable. +- `Variable`: a letter or symbol used to represent a quantity that changes + - **Independent** variable is **NOT** controlled/affecet by another variable + - **Dependent** variable is one that **IS** controlled/affected by the **independent** variable. +- `Trend`: a general direction or tendency +- `Line of best fit`: a **line** that passes as close as possible to a set of plotted points + - a **correlation** describes how well one variable relates to another. Possible types of correltaion: + - positive + - negative + - none + - strong + - weak +- `Curve of best fit`: a **curve** that passes as close as possible to as set of plotted points. +- `Interpolation`: Data **inside** the given data set range. +- `Extrapolation`: Data **outside** the data set range. + +## Graphs: +- `Title`: Name given to a graph and placed above the graph. +- `Axis Label`: Axes are labeled with the scale, what was measured and its units. +- `Scale`: evenly spaced numbers which differ by an equal amount. Note: the scale may have a break at the beginning. + + + +## Interpreting Scatter Plots + +- A scatterplot graph is there to show the relation between two variables in a table of values. +- A line can be drawn through the most concentrataed points, to show a trend. +- + +### How To the Line of Best Fit + 1. Find two points **```ON```** the ```line of best fit``` + 2. Determine the ```slope``` using the two points + 3. Use ```point-slope form``` to find the equation of the ```line of best fit```