Regression (Part I)-You are again given the same 10 observations that you were provided with in the Correlation problem. However,you are now asked to derive the regression line, y’= a+bX for the data below. After you have
Regression (Part I)-You are again given the same 10 observations that you were provided with in the
X (Independent Variable) Y (Dependent variable)
Month Advertising Expenditure (in Millions of $) Sales Revenue (in Millions of $)
March 20 30
April 40 60
May 20 40
June 30 60
July 10 30
August 10 40
September 20 40
October 20 50
November 20 30
December 30 70
Regression (Part 2)-Calculating the Standard Error of the Estimate-Sy.x . You will be using the same summation data that you used to derive the equation of the regression line,Y’=a +bX,in Regression (Part I)
After you have calculated the Standard Error of the Estimate,Sy.x,tell me what the number you have obtained means.
Regression (Part 3)-Calculating a Prediction Interval for a particular value of X
In this problem, you will be using the results of Part I and Part II, which were Y’ =a+bX and Sy.x ,to compute a prediction interval value for a particular value of X. Use X=25 as the particular value of X.
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