Collect at least 30 bivariate, quantitative data for the topic you have chosen (use the suggested list of bivariate data at the end of this document if you need to). If the data is gathered from the internet, or another source, provide the appropriate information showing where you got the data from. If not, describe how you collected your data. [7] Enter your data into Minitab. Give a title to each column (underneath Cl and C2) and display your data in the session window. Copy/paste into word. -Below your data, describe what type of relationship you expect to find (strong, weak, positive, negative) and why? [9] Part 2 - Working with univariate data: Select one of your bivariate data (or both if you are curious). Use Minitab to calculate the following sample statistics: mean, median, mode, range, variance, and standard deviation. Copy/paste the Minitab session window (do not include extra values). [7] Using the same univariate data, create a histogram. Be sure that each axis is properly labeled and give your chart a title. Copy/paste this. [5] -Below the histogram, describe what type of distribution, if any, your histogram shows. [5] Also create a boxplot, and copy/paste it. -Below the boxplot, state specifically what this tells you about your data (5-number summary). [9] Part 3 - Working with bivariate data: Using Minitab, create a scatter diagram of the two variables for which you have gathered data. Be sure to properly label and title your graph. Copy/paste this and include it in your report. [5] Below the scatter diagram, answer the following questions: [1 1] -Based on your scatter diagram, is there a relationship between the variables? If yes, describe the relationship. Does it appear to be positive or negative? Strong or weak or moderate? -What would your guess of r, the correlation coefficient, be