give two examples in any area of interest to you other than

give two examples in any area of interest to you (other than those already presented in this chapter) where regression analysis can be used as a data analytic tool to answer some questions of interest. For each example:

a. what is the question of interest?

b. Identify the response and the predictor variable.

c. Classify each of the variables as either quantitative or qualitative.

d. Which type of regression (see table 1.15) can be used to analyze the data?

e. Give a possible form of the model and identify its parameters.

Table 1.15

Type of Regression

Univariate. Multivaritae - Only one quantiative response variable. Two or more quantitative response variables

Simple. Mutiple - Only one predictor variable. Two or more predictor variables

Linear - All parameteres enter the equation linearly, possibly after transformaton of the data

Nonlinear - The relationship between the response and some of the predictors is nonlinear or some of the parameteres appear nonlinearly, but no transformation is possible to make the parameters appear linearly.

Analysis of variance - All predictors are qualitative variables

Analysis of covariance - Some predictors are quantitative variables and others are qualitative variables

Logistic - The response Variables is qualitative

Solution