Question

(b) Finally, the researcher is interested in examining the regression model for knowledge, attitude and practices towards the COFLU-20. The following model was developed to forecast individual practices towards COFLU-20 using knowledge and attitude scores.

P = α + β K + δ A

where P = Practice towards COFLU-20 score

    K = Knowledge towards COFLU-20 score

    A = Attitude towards COFLU-20 score

The data are processed using MINITAB and the output in Exhibit 1 below was obtained:

Exhibit 1

The regression equation is *************

Predictor	Coef	SE	t-ratio	P
Constant	4.755	0.462	10.282	0
Knowledge	0.8	0.039	2.055	0.041
Attitude	0.024	0.6	0.393	0.695

R-sq = 81.5%

Analysis of Variance
SOURCE	DF	SS	MS	F	P
Regression	2	38.06	19.03	2.284	0.104
Error	297	2474.887	8.333
Total	299	2512.947

(i) Identify the dependent variable(s) and the independent variable(s).

   [2 marks]

(ii) Is δ significant?     

Show proof of the testing process used to arrive at your decision.      

State what this means in terms of attitude and practices.                          [4 marks]

                       

(iii) What does the value of R-sq indicate? Comment on the value of R-sq.                            

Answer 1

1. The dependent variable is P, and the independent variables are K and A

2. δ is not significant because we value for attitude is 0.695 which is very much larger than 0.05. So at 5% level of significance δ is not significant

3. The R square indicates the amount of variability explained. The value of R square is 81.5% which is very high, hence the regression model is significant and large amount of variability is explained in it

Thank you for the question. Glad to help you. Please give a thumbs up