Statistics Chapter 9.1 & 9.2 Flashcards
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Questions and Answers

Does the dependent variable increase or decrease as the independent variable increases when two variables have a positive linear correlation?

  • Increase (correct)
  • Decrease
  • What is the range of values for the correlation coefficient?

    -1 to 1

    Which value of r indicates a stronger correlation: r = 0.807 or r = -0.856? Explain your reasoning.

    r = -0.856

    What does r represent and what does p represent?

    <p>r represents the sample correlation coefficient and p represents the population correlation coefficient.</p> Signup and view all the answers

    What does it mean to say 'correlation does not imply causation'?

    <p>It means that a strong correlation between two variables does not necessarily indicate that one causes the other.</p> Signup and view all the answers

    What can you determine about the scatter plot of a paired data set if there is no linear correlation?

    <p>No linear correlation</p> Signup and view all the answers

    Identify the explanatory variable and the response variable: A golfer wants to determine if the type of equipment used every year can be used to predict the amount of improvement in his game.

    <p>Explanatory variable: type of equipment used; Response variable: amount of improvement in his game.</p> Signup and view all the answers

    What does Σx represent in the correlation coefficient calculation?

    <p>Σx = Sum of x values.</p> Signup and view all the answers

    In the context of the correlation coefficient, how do you find the product of x and y values?

    <p>Multiply them.</p> Signup and view all the answers

    What is the process for performing a Linear Regression T-test in statistical calculations?

    <p>Edit and input x's in list 1 and y's in list 2, then select LinReg T-Test.</p> Signup and view all the answers

    What is the formula for calculating the critical values in a Linear Regression T-test?

    <p>n - 2</p> Signup and view all the answers

    Is the slope of the regression line positive or negative when two variables have a positive linear correlation?

    <p>Positive</p> Signup and view all the answers

    What can be said about prediction values in relation to the original data?

    <p>Prediction values are meaningful only for x-values in (or close to) the range of the original data.</p> Signup and view all the answers

    Match the following terms related to slope and y-intercept.

    <p>Slope = m Y-intercept = b The y value of a data point corresponding to xi = yi The y value for a point on the regression line corresponding to xi = ∧yi</p> Signup and view all the answers

    What does the variable 'm' represent?

    <p>Slope</p> Signup and view all the answers

    Study Notes

    Correlation Basics

    • Positive linear correlation indicates that as the independent variable increases, the dependent variable also increases.
    • The correlation coefficient (r) ranges from -1 to 1, with |r| closer to 1 indicating a stronger correlation.
    • A stronger correlation is represented by r = -0.856 compared to r = 0.807 due to the absolute value comparison.

    Correlation Coefficients

    • "r" denotes the sample correlation coefficient, while "p" signifies the population correlation coefficient.
    • Correlation does not imply causation; correlation alone cannot establish a cause-and-effect relationship between two variables.

    Scatter Plots

    • When a scatter plot displays no discernible pattern, it indicates no linear correlation between the pairs of variables.

    Variables in Research

    • In the context of golf improvement, the explanatory variable is the type of equipment used, and the response variable is the amount of improvement in the golfer's game.

    Calculating Correlation Coefficient

    • To find the correlation coefficient, calculate:
      • Σx: Sum of x values
      • Σy: Sum of y values
      • Σxy: Sum of product of x and y
      • Σx²: Sum of squared x values
      • Σy²: Sum of squared y values
      • "n" represents the number of data pairs.

    Using Statistical Software

    • For Linear Regression calculations:
      • Input x-values in list 1 and y-values in list 2.
      • Access the CALC menu to choose LinReg(ax + b) for regression calculations.

    Linear Regression T-Test Process

    • For hypothesis testing with a Linear Regression T-test:
      • Input data into lists, then navigate to the TESTS menu.
      • Select LinReg T-Test, choose the appropriate test symbol (not equal), and calculate.

    Understanding Slope and Intercept

    • In a positive correlation, the slope of the regression line is positive, indicating that as the independent variable increases, the dependent variable also tends to increase.
    • Meaningful predictions for y based on x can only be made for x-values within or close to the range of the original data.

    Key Terms

    • Slope (m) represents the rate of change in y for each unit change in x.
    • y-intercept (b) is the value of y when x equals zero.
    • y values corresponding to data points and those corresponding to regression line points are denoted as yi and ŷi, respectively.

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    Test your knowledge of key concepts from Statistics chapters 9.1 and 9.2 with these flashcards. Each card focuses on essential terms and definitions related to correlation and variables. Perfect for review before exams or to reinforce your understanding.

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