please answer and explain

Which one ofthe following is INCORRECT statement? 0 An apparently strong correlation can simply be due to extreme values or outliers, if present. 0 For correlation between study hours and final mark r = .72 while for negative correlation between years of education and time spent in prison r = .72. We can conclude that both correlations are equally strong. 0 If Pearson's r is .61, then 37% ofvariation in y/dependent variable can be explained by the x/independent variable. 0 If Pearson's r is .71, then 71% ofvariation in the dependent variable can be explained by the independent variable. 0 If Pearson's r is .35 then the value for the suitable measure of effect is .12 0 If Pearson's r is 0, there is no linear correlation between the two variables. All of the following statements are correct except one; please identify the incorrect statement. 0 Inclusion and Exclusion criteria for an epidemiological research study are list of conditions or characteristics, varying from study to study, that determine who should be included in the study and who should be excluded from participating in that study. 0 If p value after conducting a hypothesis test is .005 we reject null. 0 If p value for a hypothesis test is .054 null will be rejected and results will be considered statistically signicant. 0 Although some researchers may use these terms interchangeably, however, the difference between association and correlation is that these terms are used for relationship between two categorical variables and relationship between two continuous variables, respectively. 0 The purpose of performing a statistical test is to rule out that the observed ndings are not due to chance factors but in fact real and exist in the population represented by the sample. 0 Results of a study have 'Statistical signicance' if there is only less than 5% random chance likely for the observed ndings (determined by p value) whereas Practical signicance means if results are actually meaningful or clinically important (determined by measures of association and effect which may be different for different situations/studies/analyses)