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myp 5 math assignment 19a1 (scatter graph) 09/08-09/24 work on the foll…

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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.

monthjanfebmaraprmayjunjulaugsepoctnovdec
sales ($ × 1000)18222520151612128101516

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.

Explanation:

Response
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).

Answer:

The independent variable is the average daily temperature (in \(^\circ\text{C}\)).

Part (b)