In the case of a positive relationship between two variables, all else remaining constant:
- The value of the two variables will move in opposite directions from each other.
- graphically, the data line representing the relationship between the variables has a positive slope
<u>Explanation:</u>
A positive relationship is also termed as direct relationship. It is a correlation among two variables that travel in the identical direction. The graph for a positive (direct) connection signifies which is becoming weaker (less steep). A positive relation is upward-sloping.
A graph permits us to imagine the connection among two variables. If the graph of the connection among two variables slopes up to the right, the association within the variables is positive. The graph of a positive correlation can have a slope that becomes smaller when moving rightward along the graph.
The goal is resource sharing
, In monopolistic competition, firms make price/output decisions as if they were a monopoly. They will produce where marginal revenue equals marginal cost., Free entry into the market may ultimately shrink the economic profits of monopolistically competitive firms.
The power given by the Articles of Confederation is printing money. Thus, option C is correct.
<h3>What are the Articles of Confederation? </h3><h3 />
The Articles of Confederation were proposed by the Continental Congress, which became effective on November 15, 1777. The powers of state and national government were decided, and the power was being surged to use in a particular, directed way.
The article of confederation gave them the power they can print money, which includes money from various denominations. This amount is also fixed by them, and it is often given that the amount is given on leverage of gold. Therefore, option C is the correct option.
Learn more about the Articles of Confederation, here:
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Answer: between 0.88 and 0.916
Explanation: parameters given are:
n = 1068
CI = 95 % = 1.96
p = 959
Let us Divide p by n.
959 \ 1068 = 0.898
Then,
0.898 -\+ 1.96 (√0.898 (1 - 0.898) \ 1068)
Find standard error
√0.898 (1 - 0.898) \ 1068 = 0.009
Also let us Find Margin of error.
(1.96)(0.009) = 0.018
Then calculate confidence interval.
0.898 -\+ 0.018 = 0.880 to 0.916
The 95% confidence, that the proportion of times NFL teams punt on a fourth down when they shouldn't be punting is between 0.880 and 0.916
