Chapter 4

Chapter 4 Basic Estimation Techniques

Simple Linear Regression 4- ,[object Object],• ,[object Object]

Method of Least Squares 4- ,[object Object],• •

Sample Regression Line (Figure 4.2) 4- A 0 8,000 2,000 10,000 4,000 6,000 10,000 20,000 30,000 40,000 50,000 60,000 70,000 Advertising expenditures (dollars) Sales (dollars) S • • • • • • • e i

[object Object],[object Object],Unbiased Estimators 4- • •

Relative Frequency Distribution* (Figure 4.3) 4- 0 8 2 10 4 6 1 1 3 5 7 9 *Also called a probability density function (pdf)

[object Object],Statistical Significance 4- ,[object Object],•

[object Object],[object Object],[object Object],[object Object],Performing a t -Test 4-

Performing a t -Test ,[object Object],[object Object],[object Object],4- •

Performing a t -Test ,[object Object],4-

Using p -Values ,[object Object],[object Object],[object Object],4-

Coefficient of Determination ,[object Object],[object Object],[object Object],4-

F -Test ,[object Object],[object Object],[object Object],[object Object],[object Object],4-

Multiple Regression ,[object Object],[object Object],4-

[object Object],Quadratic Regression Models 4- • • • is U -shaped or U -shaped

Log-Linear Regression Models 4- • • • • •

Chapter 4

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Chapter 4