Answer :
The central idea focused on emphasizing on faith, the power of god's grace and centralizing the Bible.
Explanation:
Martin Luther and John Calvin were the greatest protestant reformers. : John Calvin and Martin Luther broke from the Catholic Church by seeing the corruption in it. Luther believed that the individual has control over what happens in his life. Calvin believes in the doctrine of predestination.
Most Protestant reformers appeal to various groups across Europe because peasants and artisans were the victims of violent social and economic dislocation. The growing population led many to move from rural to towns. With declining wages, increasing taxation, rising prices caused a wide gap between the poor and the rich. Poverty, resentment and social discontent if the mass were some of the reason for their success.
Protestant ideas welcome to educated people and urban residents because if the printing press. Rulers also attracted because it brought a religious change in their kingdoms which allowed rulers to split from the Catholic Church and hold its supreme power in the state.
Answer:
The experiences we are having today were likely shaped by the past events you have been through. Events in your childhood or early adulthood have shaped the way you think, act, and interact with people close to you. ... Our past, present, and future are intimately linked by our memories.
New York's skyscrapers are as high as heaven.
Mary Ellen is demonstrating the confirmation bias.
The confirmatory bias or also called myside bias is the inclination to interpret, to search for and recall data in a way that confirms one preexisting hypothesis or belief. It happens from the direct influence of desires on beliefs.
The regression line is the line that minimizes the squared deviations between the line (the expected relation) and the actual data points.
<h3>What is the regression line?</h3>
- A regression line is an estimate of the line that describes the true, but unknown, linear relationship between the two variables.
- The equation of the regression line is used to predict (or estimate) the value of the response variable from a given value of the explanatory variable.
To learn more about regression lines, refer
to brainly.com/question/24553900
#SPJ4
