Answer:
Positive Correlation is the direct relationship between salary, education - i.e high education, high salary & low education, low salary.
Explanation:
Correlation is statistical co-movement between two variables. It's coefficient lies between -1 & +1
Positive Correlation implies that variables are positively related. One variable increase, other variable increase & one variable decrease, other variable decrease. Scatter graph is upward sloping.
Negative Correlation implies that variables are negatively related. One variable increase, other variable decrease & one variable decrease, other variable increase. Scatter graph is downward sloping.
Lower education implies lower salary, Higher education implies higher salary, higher education. So, salary & education are positively correlated. Scatter graph is downward sloping in this case. The correlation between these could be Perfect Positive = +1, or Moderate Positive i.e < 1.
Example : If among accountant, architect, pharmacist, surveyor - The one having highest education (eg - pharmacist) gets highest salary ; the one having least education (eg - surveyor) has least salary.
Wreck-It Ralph...........
Answer:
to mix socially with others.
Explanation:
The state that has the most is california
<span>High unemployment and limited job opportunities in Russia have impacted Russia's younger generation since they have lesser chance to be employed too. The unemployed parents may also affect them since it will lessen the support they can give. The studies of younger generations maybe affected too.
</span>Hope my answer would be a great help for you. If you have more questions feel free to ask here at Brainly.
