the following questions about joint random variables. (a) The correlation coefficient can tell us a lot about how two variables are related. What type of relationship does the correlation coefficient measure? (b) George starts with the joint distribution (X, Y ). He finds the marginal distribution for Y . George checks his work, and finds that the sum of the marginal distribution probabilities is equal to 1.25. Is this correct or was an error made (is there enough information to tell?)? If an error was made, what should be the sum of the marginal distribution probabilities?Random Variables: (a) What does it mean to "define a random variable"? (b) Explain, in your own words, why it is important that we define a random variable before we do any calculations. (c) When defining a random variable, we have to state the parameters. Define "parameter" using your own wordRandom Variables: (a) What does it mean to "define a random variable"? (b) Explain, in your own words, why it is important that we define a random variable before we do any calculations. (c) When defining a random variable, we have to state the parameters. Define "parameter" using your own word