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Question
myp 5 math assignment 19a1 (scatter graph)
09/08-09/24
work on the following problems using your handout and class notes
name anisha period 1st
4 the following table shows the sales of hot drinks in a popular café each month, along with the average daily temperature for the month.
| month | jan | feb | mar | apr | may | jun | jul | aug | sep | oct | nov | dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| sales ($ × 1000) | 18 | 22 | 25 | 20 | 15 | 16 | 12 | 12 | 8 | 10 | 15 | 16 |
a which is the independent variable?
b draw a scatter graph to display the data.
grid for scatter graph
comment on the relationship between sales and temperature.
Part (a)
Step 1: Recall Independent Variable Definition
An independent variable is the one that is manipulated or is the cause, and it's not dependent on other variables in the context. Here, temperature is a natural factor (we don't assume sales cause temperature), while sales depend on temperature (hot drink sales likely change with temperature). So temperature is independent.
Step 1: Set Up Axes
- X - axis (Independent Variable): Temperature (\(^\circ\text{C}\)). Label the x - axis with values from around 0 to 20 (since temperatures are 5, 6, 12, 13, 18, 20, etc.).
- Y - axis (Dependent Variable): Sales (\(\$ \times 1000\)). Label the y - axis with values from around 0 to 30 (since sales are 7, 8, 10, 12, 14, 15, 16, 17, 18, 20, 21, 22, 25).
Step 2: Plot Data Points
For each month, plot the point \((\text{Temperature}, \text{Sales})\):
- Jan: \((6, 18)\)
- Feb: \((5, 22)\)
- Mar: \((12, 25)\)
- Apr: \((13, 20)\)
- May: \((18, 15)\)
- Jun: \((20, 16)\)
- Jul: \((21, 12)\)
- Aug: \((22, 12)\)
- Sep: \((17, 8)\)
- Oct: \((14, 10)\)
- Nov: \((10, 15)\)
- Dec: \((7, 16)\)
(Note: Since we can't draw the graph here, but the process is to mark these points on the grid with x - axis as temperature and y - axis as sales.)
Part (Comment on Relationship)
Step 1: Analyze Trend
Looking at the plotted points (or the data), as the temperature increases from lower values (like 5 - 12 \(^\circ\text{C}\)) to a peak (around 12 - 13 \(^\circ\text{C}\)), sales first increase (from Feb - Mar) and then as temperature continues to increase (above 13 \(^\circ\text{C}\)), sales generally decrease. So there is a non - linear (curved) relationship, or we can say a negative relationship after a certain point (or an initial positive then negative relationship).
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The independent variable is the average daily temperature (in \(^\circ\text{C}\)).