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Table 3 Estimates of the linear regression model

From: Quantifying the economic burden of malaria in Nigeria using the willingness to pay approach

 

Unstandardized coefficients

 

Coefficients Standardized coefficients

  

Model

B

Std. error

Beta

T

Sig.

1 Public medical facilities (PUBMED)

-2344.933

581.479

-.130

-4.033

.000

Stranger (STRANGER)

2931.634

1642.068

.033

1.785

.074

Married household (MARRIED)

1754.771

1642.068

.140

3.132

.002

Household highest level of education (EDUC)

482.817

41.124

.576

11.741

.000

Total household expenditure & savings (Income, Y)

1.910E - 03

.000

.134

6.309

.000

How much did you spend on sprays?(MPROTEC)

.976

.212

.109

4.613

.000

How do you classify the economic status of your household relative to others in this community? (SELF)

-513.944

184.388

1.104

-2.787

.005

Total hospital treatment cost (MALCOST)

.339

.098

.078

3.451

.001

  1. a. Dependent variable: willingness to pay for total eradication of malaria
  2. b. Linear regression through the origin
  3. c. Treatment cost in clinic/hospital not involving admission is used
  4. Other statistics: R2 = 0.468; DW = 1.709; F = 173.902