True or False Questions
a. Suppose that (-0.47, -0.39) is a confidence interval for the difference of proportions (p1 - p2). This indicates that p1 is greater than p2
b. If two variables are strongly correlated (r > 0.9 or r < -0.9), we can say that the explanatory variable is causing the response variable.
c. If two variables are negatively correlated this means that when one increases the other tends to increase.
d. If p-value < ? then I reject the null hypothesis. This means I'm 100% sure that the null is false and I reject the null hypothesis.
e. All confidence intervals for a population proportion contain p.
f. The “Line of Best Fit” is the line that minimizes the sum of the squared distances between the points and the line.
g. Suppose variables x and y are correlated. It's possible that the x variable is causing the values we are observing in the y variable.
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