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Term Paper Assignment: 20% of nal grade This assignment relates to the following Course Learning Requirements: [CLR 1] Calculate the chance that some specic event

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Term Paper Assignment: 20% of nal grade This assignment relates to the following Course Learning Requirements: [CLR 1] Calculate the chance that some specic event will occur at some future time 0 knowledge of the normal probability distribution [CLR 2] Perform Sampling Distribution and Estimation [CLR 3] Conduct Hypothesis Testing [CLR 4] Understand and calculate Regression and Correlation Objective of this Assignment: To conduct a regression and correlation analysis Instructions: For this assignment, demonstrate your understanding of correlation by selecting two economic or business variables on which to conduct a regression analysis. Make sure your data demonstrates the independentfdependent variable relationship; make sure to distinguish between your independent and dependent variables. Here are examples of the type of data you may wish to analyze: 1) Consumer Spending in Canada (independent) vs. Canadian GDP (dependent) 2) Time in Years (independent) vs. Average House Prices in Canada (dependent) Note: Your analysis must look at data for a period of 20 years i.e., 20 years' worth of data must be used to determine the trend equation. Important: Please source your data. Data which is not properly documented as to source is unacceptable and paper will be graded F (textbook examples are unacceptable). in The term paper must be typed and it will not be returned. 0 The paper should be between 3 to 5 pages (1500 to 2000 words). The term paper must include the following: 1. Graph the data using a scatter diagram. 2. Use the method of least squares to derive a trend equation and trend values. 3. Use check column to verify computations (e.g., Z (Y-Yc)=0) and interpret the meaning of regression coefcients. 4. Superimpose trend equation on your scatter diagram. 5. Construct forecast intervals, calculate the standard error of estimate, coefficient of determination (r1), and correlation (r). Interpret the meaning of r2 and r as it relates to your variables. 6. Use your regression equation to predict the value of the dependent variable in the 21't year. For

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