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 scoreK = Knowledge towards COFLU-20 scoreA = 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 Coeficcient 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). (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. (iii) What does the value of R-sq indicate? Comment on the value of R-sq.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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 | Coeficcient | 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).
(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.
(iii) What does the value of R-sq indicate? Comment on the value of R-sq.
Step by step
Solved in 2 steps with 3 images
