Two Continuous Variables - Statistical Package for Social Sciences - Lecture Slides, Slides of Economic statistics

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Assessing the Relationship

Between Two Continuous

Variables

Example

• The price of commodities is

often associated with changes

in supply and demand.

• The following data on the right

shows how the production of

maize varied in Country A and

the associated adjusted prices

to the consumer.

• Fit a regression model to

describe the relationship

between national maize

production and maize price.

Learn How to Produce a Simple Linear Regression Analysis in SPSS

Open file ‘maize price.sav’

Variables Entered/Removedb

Maize production (MT *100,000)

a

. Enter

Model 1

Variables Entered

Variables Removed Method

a. All requested variables entered. b. Dependent Variable: Market price of maize per kg

Model Summaryb

.888a^ .788 .777 4.

Model 1

R R Square

Adjusted R Square

Std. Error of the Estimate

a. Predictors: (Constant), Maize production (MT *100,000) b. Dependent Variable: Market price of maize per kg

Residual plot

Dependent Variable: Market price of maize per kg

Regression Standardized Predicted Value

Regression Standardized Residual