Quiz – Math 1, Unit 8, Section D

Unit 8, Section D Quiz

  1. Question 1:

    What does a positive correlation coefficient indicate about the relationship between two variables?

    1. As one variable increases, the other decreases.
    2. As one variable increases, the other increases.
    3. There is no relationship between the variables.
    4. The variables are inversely proportional.

  2. Question 2:

    Which of the following correlation coefficients indicates the strongest relationship between two variables?

    1. 0.45
    2. -0.85
    3. 0.15
    4. -0.20

  3. Question 3:

    In simple linear regression, what does the slope of the regression line represent?

    1. The value of the dependent variable when the independent variable is zero.
    2. The strength of the relationship between the variables.
    3. The change in the dependent variable for a one-unit change in the independent variable.
    4. The correlation between the variables.

  4. Question 4:

    What is the main purpose of multiple regression analysis?

    1. To analyze the relationship between two variables.
    2. To compare the means of multiple groups.
    3. To test for causal relationships between variables.
    4. To model the relationship between a dependent variable and multiple independent variables.

  5. Question 5:

    Which of the following is a characteristic of logistic regression?

    1. It requires the dependent variable to be binary.
    2. It models continuous outcomes.
    3. It uses the ordinary least squares method.
    4. It is used to compare group means.

  6. Question 6:

    What does the R^2 value represent in regression analysis?

    1. The probability of making a Type I error.
    2. The proportion of variance in the dependent variable explained by the independent variables.
    3. The strength of the relationship between the dependent and independent variables.
    4. The standard deviation of the residuals.

  7. Question 7:

    What is multicollinearity in multiple regression analysis?

    1. When two or more independent variables are highly correlated.
    2. When the dependent variable is categorical.
    3. When the residuals are not normally distributed.
    4. When there is a nonlinear relationship between variables.

  8. Question 8:

    Which online tool is known for providing interactive graphs and fitting regression models?

    1. GeoGebra
    2. Google Sheets
    3. Desmos
    4. StatCrunch

  9. Question 9:

    What is the logit function used for in logistic regression?

    1. To model continuous outcomes.
    2. To transform probabilities into a linear relationship with predictors.
    3. To compare group means.
    4. To calculate residuals.

  10. Question 10:

    In regression analysis, what does a residual plot help assess?

    1. The correlation between variables.
    2. The strength of the regression model.
    3. The distribution of the dependent variable.
    4. The fit of the regression line to the data.