Linear Regression Analysis Using MS Excel Tutorial for

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Linear Regression Analysis Using MS Excel Tutorial for Assignment 2 Civ E 342

Linear Regression Analysis Using MS Excel Tutorial for Assignment 2 Civ E 342

The Regression Analysis Procedure Import Data to Excel Correlation Analysis Assume Equation Prepare Data

The Regression Analysis Procedure Import Data to Excel Correlation Analysis Assume Equation Prepare Data Table Regress Using Excel Quality Analysis Try More Equ. ? No Select the Best Equ. Yes

Step 1: Import Data to Excel • Objective: Correlation Analysis • Import original data

Step 1: Import Data to Excel • Objective: Correlation Analysis • Import original data to Excel. If it is a text file, open the file in Excel and follow the steps! • Label each column variable names • Define (label) independent and dependent variables (x 1, x 2, . . . , y) Assume Equation Prepare Data Table Regress Using Excel Quality Analysis Try More Equ. ? Yes No Select the Best Equ. • Demo

Step 2: Correlation Analysis • Objectives: Import Data to Excel – Important factors? –

Step 2: Correlation Analysis • Objectives: Import Data to Excel – Important factors? – Correlation between factors? – Factors with non-linear effect transform into linear if necessary Correlation Analysis Assume Equation • Method 1: Correlation matrix Prepare Data Table – Excel - “Tools - Data Analysis… Correlation” – Identify the factors that are correlated - high coefficient of correlation Regress Using Excel Quality Analysis Try More Equ. ? No Select the Best Equ. • Method 2: Scatter diagram Yes • Demo

Step 3: Assume a Functional Form • Objective Import Data to Excel – Identify

Step 3: Assume a Functional Form • Objective Import Data to Excel – Identify factors and form of relationship Correlation Analysis Assume Equation • Methods: Prepare Data Table – A trial-and-error process: Regress Using Excel y = 0 + 1 x 1 Quality Analysis Try More Equ. ? No Select the Best Equ. y = 0 + 1 x 1 + 2 x 2 Yes – Stepwise process (not covered in this tutorial)

Step 4: Prepare Data Table Import Data to Excel • Objective – For the

Step 4: Prepare Data Table Import Data to Excel • Objective – For the assumed equation: Correlation Analysis y = 0 + 1 x 1 + 2 x 2 Assume Equation Prepare Data Table Regress Using Excel Quality Analysis Try More Equ. ? No Select the Best Equ. Yes Demo

Step 5: Regress Using Excel • Objective: determine the Import Data to Excel coefficients

Step 5: Regress Using Excel • Objective: determine the Import Data to Excel coefficients that make the equation best fit to the data Correlation Analysis Assume Equation • Method: Prepare Data Table – Method of Least Squares Regress Using Excel Quality Analysis Try More Equ. ? No Select the Best Equ. Yes • Demo

Step 6: Assess the Adequacy of the Regression Model • Objective: • Measures: Import

Step 6: Assess the Adequacy of the Regression Model • Objective: • Measures: Import Data to Excel Correlation Analysis – Coefficient of Determination (R 2) Assume Equation – t-tests ti>t , n-k-1, -level of significance Prepare Data Table Regress Using Excel n-sample size k-no of independent variables – Residual plot Quality Analysis Try More Equ. ? No Select the Best Equ. Yes – Intuitive acceptability • Demo

Step 7: Select the Best Regression Model Import Data to Excel • Objective: Correlation

Step 7: Select the Best Regression Model Import Data to Excel • Objective: Correlation Analysis y = 0 + 1 x 1 + 2 x 2 Assume Equation t 1 Prepare Data Table t 2 Regress Using Excel • Model Application Quality Analysis Try More Equ. ? No Select the Best Equ. Yes – Models are valid only for the values of the variables within the range of the original data!