bivariate data (pt)

• Bivariate data


  Consists of two (2) variables and can be either dependent or independent variable
• Independent variable


  Is the variable that can cause the dependent variable to change
• Dependent variable


  Is the variable that is influenced or affected by the independent variable
• Scatter plot


  Are diagrams that are used to show the degree and pattern of relationship between the two (2) sets of data
• Scatter plot


  • It is constructed on the XY Coordinate plane
  • Each data point on a scatter plot represents two (2) values
  • The abscissa (x) of the point is a value of the independent variable and the ordinate (y) is a value of the dependent variable
• Patterns of data in scatter plot

  • Linearity (Linear or Nonlinear)
  • Slope (Positive, Negative or No slope)
  • Strength (Strong or Weak)
• Linearity


  Refers to whether a data pattern is linear (straight) or nonlinear (curved)
• Outlier


  One or more data that is/are isolated from other data on the line
• Slope


  Refers to the direction of change in variable y when variable x gets bigger. If variable y also gets bigger, the slope is positive; but if variable y gets smaller, the slope is negative
• Strength


  Refers to the degree of "scatter" in the plot. If the dots are widely spread, the relationship between variables is weak. If the dots are concentrated around a line, the relationship is strong
• Example: Average hours spend in soc med - Academic performance in mathematics

  • Identify the Linearity, Slope, and Strength
• Linearity (Linear or Nonlinear)- Refers to whether a data pattern is linear (straight) or nonlinear (curved)
• outlier: - One or more data that is/are isolated from other data on the line
• slope (Positive, Negative or No slope) - Refers to the direction of change in variable y when variable x gets bigger. - If variable y also gets bigger, the slope is positive; but if variable y gets smaller, the slope is negative.
• Strength (Strong or Weak)- Refers to the degree of “scatter” in the plot. If the dots are widely spread, the relationship between variables is weak. If the dots are concentrated around a line, the relationship is strong.