The coefficient of determination (r2) is a measure of the proportion of variance of a predicted outcome. with a value of 0 to 1, the coefficient of determination is calculated as the square of the correlation coefficient (r) between the sample and predicted data. the coefficient of determination shows how well a regression model fits the data. its value represents the percentage of variation that can be explained by the regression equation. a value of 1 means every point on the regression line fits the data; a value of 0.5 means only half of the variation is explained by the regression. the coefficient of determination is also commonly used to show how accurately a regression model can predict future outcomes.

step-by-step explanation:

step 1: solve one of the equations for one of the variables. let's solve the first equation for y:

step 2: substitute that equation into the other equation, and solve for x.

step 3: substitute x = 4 x = 4 x=4 into one of the original equations, and solve for y.

the correct answer is a) they believe they have a "just cause."

islamic terrorists justify their violent actions because they believe they have a "just cause."

every act of terrorism of islamic sects is done “in the name of allah”. that justifies their actions. islam people who commit those terrorist attacks are not afraid to die. that is why the attacks have horrible consequences. they know they are going to die and they are proud to do it because it is in the name of allah, so it is justified and is for a “good cause.”

since the very beginning of the conflict with israel, islam is fighting a “sacred war”, respecting the words stated in the qur’an. they fight against the domination of the western countries and to defend their occupied territories.