Bivariate data

Cards (81)

  • What do the values a and b represent in a regression line?
    • a: y-intercept, value of y when x=0
    • b: gradient, change in y for each unit increase in x
  • What does the phrase "y on x" refer to?
    A regression line in the form y = a + bx
  • What does PMCC stand for?
    Pearson's Product-Moment Correlation Coefficient
  • What should students comment on regarding their estimates?
    • Likely reliability of the estimate
    • Factors affecting the reliability
  • How does the PMCC value affect predictions?
    It indicates the reliability of predictions
  • What is provided to students that does not need to be memorized?
    Formula Booklet
  • How are values a and b typically found?
    Using the calculator
  • What should you enter into List 1 on the calculator?
    Independent variable (x) data
  • What is the first step in using the calculator for regression?
    Press CALC [F2]
  • What does the regression line equation look like?
    y = a + bx
  • What does List 1 contain when calculating p on q?
    q data
  • What does List 2 contain when calculating p on q?
    p data
  • What is the significance of the PMCC value?
    • Indicates strength of linear relationship
    • Values range from -1 to 1
  • What should you do in the matching activity?
    Match tables, graphs, PMCC, equations
  • What is the bonus task in practice questions?
    Calculate the PMCC for each data set
  • What does the y-intercept (a) represent in a regression line?
    Value of y when x is 0
  • What does the gradient (b) indicate in a regression line?
    Change in y for each unit increase in x
  • Compare PMCC and Spearman’s Rank correlation coefficients.
    Similarities:
    • Values range from -1 to 1
    • Not affected by scaling data

    Differences:
    • PMCC for linear relationships
    • Spearman’s for ranked data
  • What is the purpose of least squares regression lines?
    Minimize the sum of the squares of residuals
  • What is a residual in regression analysis?
    Vertical difference between points and line
  • Why is it important to consider outliers in regression analysis?
    They can significantly affect the regression line
  • What are the aims of the regression lines lesson?
    • Calculate regression lines using formulas
    • Use calculators for regression lines
    • Understand the concept of residuals
  • What is the mean point in regression analysis?
    Point where the regression line passes through
  • What does it mean if the regression line predicts a decrease in sprint time?
    Training improves sprint performance
  • How does the regression line relate to the training hours of a sprinter?
    More training hours predict faster sprint times
  • What is the relationship between the values of a and b in regression analysis?
    • a is the y-intercept
    • b is the slope of the line
  • What is the significance of calculating PMCC?
    • Assesses reliability of predictions
    • Indicates strength of correlation
  • What does bivariate data involve?
    Two variables
  • What is the independent variable in bivariate data?
    The variable that is manipulated
  • What is the dependent variable in bivariate data?
    The variable that is measured
  • What is the most appropriate way to represent bivariate data?
    A scatter diagram
  • What are the types of correlation in bivariate data?
    • Weak positive correlation
    • Weak negative correlation
    • Strong positive correlation
    • Strong negative correlation
    • No correlation
  • What does PMCC stand for?
    Product Moment Correlation Coefficient
  • What letter is used to represent PMCC?
    The letter r
  • What is the range of values for PMCC?
    Between -1 and 1
  • What are the interpretations of PMCC values?
    • Strong positive linear correlation: > 0.7
    • Moderate correlation: 0.2 to 0.7
    • Weak correlation: -0.2 to 0.2
    • No linear correlation: 0
    • Strong negative linear correlation: < -0.7
    • Perfect correlation: 1 or -1
  • How do you interpret an r value of 0.95?
    Very strong positive linear correlation
  • What does an r value of -0.85 indicate?
    Strong negative linear correlation
  • Why might the r value not tell the full story?
    It doesn't account for outliers
  • What is the full name of PMCC?
    Pearson’s Product Moment Correlation Coefficient