1. Create a scatter chart (Graphs/ScatterDot/Simple Scatter) to examine the relationship between the year released ( X axis) and the inflation-adjusted U.S. box-office receipts ( Y axis) for the years 1920 to 2020. Fit a line to the chart (double click inside the chart to activate the Chart Editor, and select Elements/Fit line at Totalluncheck "Apply label to line"/Apply/Clase). Make sure your X axis shows the years from 1920 in increments of 10 (activate the Chart Editor and figure out how to get this for the X axis). Copy and paste the chart into your report and make sure it is readable. What does the chart indicate about inflation-adjusted U.S. box office receipts over time for these top 50 movies? ( 30 points) 2. Create a scatter chart (see the SPSS commands given in the above question) to examine the relationship between noninflation-adjusted budget ( X axis) and the noninflation-adjusted world box-office receipts (Y axis). Fit a line to the chart (see the SPSS commands given in the above question). Copy and paste the chart into your report and make sure it is readable. What does the chart indicate about the relationship? ( 30 points) 3. Get the Pearson's correlation coefficient (Analyze/Correlate/Bivariate) to further explore the relationship between noninflation-adjusted budget and the noninflation-adjusted world boxoffice receipts, Copy and paste the correlation table into your report and make sure it is readable. What is the correlation coefficient? Explain if the correlation is significant. Is the correlation positive or negative? (20 points). 4. Create a histogram (Graphs/Histogram) for inflation-adjusted U.S. box-office receipts. Fit a distribution curve to the chart. Do you think the distribution is skewed, and if so, explain if left-skewed or right-skewed ( 20 points)