I've answered a few of the questions and will attach the scatterplots that I have completed for Questions 2 & 4 ScatterPlots 2) Create a scatterplot for the data in the Budget and Gross columns. To create the scatterplot for BUDGET & GROSS I went to DATA-SCATTERPLOT-Entered 4 for the X (Budget) axis & 5 for the Y axis (Gross) WILL ATTACH SCATTERPLOT I CREATED 3) Explain the visual relationship between Budget costs and Gross Earnings of the movies. 4) Create a scatterplot for the data in the Budget and the Viewer Rating columns. To create the scatterplot for BUDGET & VIEWER RATING I went to DATA-SCATTERPLOT-Entered 4 for the X (Budget) axis & 5 for the Y axis (Viewer Rating) WILL ATTACH SCATTERPLOT I CREATED 5) Explain the visual relationship between Budget costs and Viewer Rating. Correlation 6) Find the linear correlation between the data in the Budget and Gross columns. 7) Explain the mathematical relationship between Budget costs and Gross Earnings of the movies based on the linear correlation coefficient. Be certain to include comments about the magnitude and the direction of the correlation. 8) List the sample size and the degrees of freedom. 9) Find the linear correlation between the data in the Budget and Viewer Rating columns. 10) Explain the mathematical relationship between Budget costs and Viewer Rating. Be certain to include comments about the magnitude and the direction of the correlation. 11) List the sample size and the degrees of freedom. Correlation (Line-of-Best Fit) 12) Find the coefficient of determination (r2 value) for the Budget and Gross data. 13) What does the coefficient of determination tell you about the line-of-best fit? 14) Find the equation of the line-of-best fit. 15) What is the slope of the line? What does it tell you about the relationship between the Budget and Gross data? Week 3 Project 16) What is the y-intercept of the line? What does it tell you about the relationship between the Budget and Gross data? 17) What is the predicted gross income for a movie that has a budget of 35 million dollars? Multiple Regression 18) Find the multiple regression equation for the variables Budget, Gross and Length. Let Gross be the dependent variable. The form of the equation is Y = bo + b1X1 + b3X3 (fill in values for bo, b1, and b3) 19) What is the R2 value? What does it tell you about the regression? 20) Divide the explained variation by the total variation. What value on the Statdisk output does that equal to? Classifying Variables 21) Would the movie data be considered a sample or a population? A: The movie data would be considered a sample. 22) State whether each of the movie data variables (Title, Year, Rating,Ã¢â‚¬Â¦.) are qualitative or quantitative? A: The Title, Year, Ratings, Length are Qualitative. The Budget and Gross are Quantitative. 23) State whether each of the movie data variables (Title, Year, Rating,Ã¢â‚¬Â¦.) are discrete, continuous, or neither. A: The variables are discrete. 24) State the level of measurement for each of the movie data variables (Title, Year, Rating,Ã¢â‚¬Â¦.). A: Title, Year, Length, Viewers ratings are at the nominal level of measurement because they have no mathematical interpretation. Budget and Gross are at the Ratio level of measurement.

Subject | Mathematics |

Due By (Pacific Time) | 09/20/2014 05:00 pm |

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