Answer:
The relation between individual and society is very close. Essentially, “society” is the regularities, customs and ground rules of antihuman behavior. These practices are tremendously important to know how humans act and interact with each other. Society does not exist independently without individual.
Answer:
Happiness and risk of heart attack are negatively correlated
Explanation:
Correlation is a statistical measure of co-movement relationship between two variables. It denotes whether the two variables move in same or opposite direction.
- Positive Correlation : Variables move in same direction. One variable increase, other variable increase & one variable decrease, other variable decrease.
- Negative Correlation : Variables move in opposite direction. One variable increase, other variable decrease & one variable decrease, other variable increase
The research study of happiness & heart disease depicts that these variables are negatively correlated, as : Higher the happiness level , lower the risk of heart disease & lower the happiness level, higher the risk of heart disease.
Answer:
Sulla was the first Roman general to march his army into the city of Rome. His decision to march on Rome and seize control affected the future of the Roman Republic. Several years later, Julius Caesar similarly marched into the city, then assumed a dictatorship. Caesar claimed that he had been inspired by Sulla. While Sulla eventually restored the Republic, Caesar’s march was viewed as bringing an end to the Republic and setting the stage for imperial Rome.
Explanation:
False, Time Series methods base forecasts only on past variables and not on recent values.
Forecasting in time series is done when we make scientific predictions based on historical data. Time series involves building models through the analysis of historical data and using them to make observations that help in decision-making. The methods of time series refer to the different ways to measure the timed values.
There are four different components of the methods of time series. The first one is a secular trend which helps to describe the movement along the term. The second one is seasonal variations that help to show seasonal changes. The third one is cyclical fluctuations that correspond to periodical changes. the last component is irregular variations that happen at random.
Learn more about Time Series methods here:
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