to derive the regression line,y’= a+bX for the data below. After you have calculated the regression equation, explain to me how you could use it. X (Independent Variable) Y (Dependent variable) Month Advertising Expenditure (in Millions of $) Sales Revenue (in Millions of $) March
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
Correlation(Part 2)-Do a Hypothesis Test for the
Assume that you want to test for a
You need to do the 6 steps for the Neyman-Pearson critical value test.You do not need to do a Fisher p-value test for the correlation coefficient ,r.
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.
Trending now
This is a popular solution!
Step by step
Solved in 4 steps with 4 images
