When examining the relationship between two interval level variables, you can use a scatterplot to allow you to visualize the relationship between the two. Question 2 options: True False Question 3 (2 points) A perfect negative relationship between two variables is expressed as r = 0 Question 3 options: True False Question 4 (2 points) In a negative correlation relationship, as the score of one variable decreases, the score on the second variable decreases. Question 4 options: True False Question 5 (2 points) A positive correlation coefficient for two variables indicate that, as the score of one increases, the score of the other increases. Question 5 options: True False Question 6 (2 points) For a linear regression model, b1 is the estimated y-intercept, and b0 is the estimated slope of the regression line. Question 6 options: True False Question 7 (2 points) When conducting a multiple linear regression model, to include a categorical variable like biological sex you must include two separate dummy variables representing both male and female sex in the model. Question 7 options: True False Question 8 (2 points) Linear regression models can use any level of measurement as independent variables Question 8 options: True False