In this case, i was established that there was a conflicting conclusionarrived by two major polls. Te major explanation can be on the wording used on questions to collect the relevant data. Te AP-GfK poll provided respondents with three options support, opose and neither support nor oppose. Te other poll provided respondents with only two option, opose and support. Tis usually gives different data hence findings. Mre importantly, te timing is another significant factor. Plls conducted before a law is debated and passed will be much different from poll obtained after a law has been debated, pssed by the congress and signed into law.
() Correlation is always carried out to establish a number of factors. Ieally, hlps researchers find out if there is a linear relationship between variables, te strength of the relationship and the direction of the association between the variables. Ot of the tree scatter lot, Iwill be concerned with Correlation between taste and acetic. Tis is because the correlation coefficient is less than 0. 7hence a weak correlation which does not warrant further analysis.
When conducting regression analysis, i is always important to find out the strength or how best the equation to be developed from regression analysis best describes the relationship between the dependent and independent variables being considered. I order to do this, te adjusted R square is interpreted. Fom the summery output table, i is evident that the value of the adjusted R square was 0. Tis can be interpreted to mean that 61.16% of the variation in the dependent variable can be successfully explained by the linear model developed.
tis means that there are other variables which contribute significantly to taste score, wich are not included in the model. Hving in mind that the R square adjusted is slightly over 60. 0, te equation is suitable to be used in predicting taste score using the existing independent variables. () In regression, sme variables contribute significantly to changes in the dependent variable. Fom the coefficient table the standardized regression coefficient is helpful in helping scholars assess the relative importance of the predictors (Doane and Seward 233). Ieally, tose variables partial regression coefficient that differs significantly from zero are deemed to be significant contributors to changes in the dependent variable.
I this case,...
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