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Question
scatter plot vocabulary assignment
part a: match the terms to their definitions
- scatter plot a. a graph that shows the relationship between two variables using dots.
- data point b. a single dot on the scatter - plot representing one observation.
- axis c. the horizontal and vertical lines that define the graph axes.
- coordinates d. the pair of numbers (x, y) that show the position of a data point.
- trend e. the general direction in which the data points seem to go.
- positive correlation f. as one variable increases, the other also increases.
- negative correlation g. as one variable increases, the other decreases.
- no correlation h. no clear pattern or relationship between the variables.
- cluster i. a group of data points that are close together.
- outlier j. a data point that is far away from the others and does not fit the pattern.
part b: fill in the blanks
- a _ shows the relationship between two variables using dots.
- a _ is a dot that represents one observation on the graph.
- a _ is a data point that does not fit the pattern of the rest.
- a _ correlation means both variables increase together.
- a _ is a group of data points that are close together.
part c: short answer
describe a scatter plot using at least three vocabulary terms. explain what the plot shows and how the data points are arranged.
- Part A: Match the terms with their correct definitions based on scatter - plot concepts.
- Scatter Plot: A graph showing variable relationship with dots (matches A).
- Data Point: Single dot representing an observation (matches B).
- Axis: Horizontal and vertical lines defining graph areas (matches C).
- Coordinates: Number pair showing data - point position (matches D).
- Trend: General data - point direction (matches E).
- Positive Correlation: One variable increase leads to the other's increase (matches F).
- Negative Correlation: One variable increase causes the other's decrease (matches G).
- No Correlation: No clear variable relationship (matches H).
- Cluster: Group of close - together data points (matches I).
- Outlier: Data point far from others not fitting the pattern (matches J).
- Part B: Fill in blanks with appropriate scatter - plot terms.
- A scatter plot shows the relationship between two variables using dots.
- A data point is a dot representing one observation on the graph.
- An outlier is a data point that does not fit the pattern of the rest.
- A positive correlation means both variables increase together.
- A cluster is a group of data points that are close together.
- Part C: A scatter plot is a graphical representation that uses data points to show the relationship between two variables. The data points are plotted on a set of axes (x - axis and y - axis). The trend of the data points can indicate a positive correlation (if the points generally go up from left to right), a negative correlation (if the points generally go down from left to right), or no correlation (if there is no discernible pattern). Clusters may be present where groups of data points are close together, and outliers are data points that are far from the main group of points and do not follow the overall pattern.
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Part A:
- Scatter Plot - A. A graph that shows the relationship between two variables using dots.
- Data Point - B. A single dot on the scatter plot representing one observation.
- Axis - C. The horizontal and vertical lines that define the graph axes.
- Coordinates - D. The pair of numbers (x, y) that show the position of a data point.
- Trend - E. The general direction in which the data points seem to go.
- Positive Correlation - F. As one variable increases, the other also increases.
- Negative Correlation - G. As one variable increases, the other decreases.
- No Correlation - H. No clear pattern or relationship between the variables.
- Cluster - I. A group of data points that are close together.
- Outlier - J. A data point that is far away from the others and does not fit the pattern.
Part B:
- scatter plot
- data point
- outlier
- positive
- cluster
Part C: A scatter plot is made up of data points plotted on axes. It may show a trend, such as a positive correlation where data points generally rise as one variable increases. There could also be clusters of data points close together and outliers that deviate from the main pattern.