The probability of Event A is 5/10 which simplifies to 1/2.
The probability of Event B is 3/9 which simplifies to 1/3.
Because it says "and" we need to multiply them which gives us 1/2*1/3=1/6
N+2 is the answer because you add 2 to the previous term to get the next one.
Answer:
Finding the error for each observation, squaring the error and minimizing the sum
Step-by-step explanation:
The regression line is a straight line which gives a description of how the dependent variable y changes as changes occur in the independent variable X. It gives a prediction of the value of Y for any given value of X.
The method of least squares is used for squaring the error and also used for minimising the sum. Therefore, when you calculate the regression line, you would be Finding the error for each observation, squaring the error and minimizing the sum.
Answer:
P ( B / A ) = 1/3
Step-by-step explanation:
Solution:-
You select a drawer and select a coin from that drawer.
Let A denote the event that the coin that you select is silver.
Let B denote the event that the other coin in the drawer is gold.
You are equally likely to pick any coin, so:
P ( A ) = 3 silver coins / 6 coins in total = 0.5
There are 6 different ways you could have selected a coin. Only one of them results in you selecting a silver coin AND the other coin in the drawer being gold, so:
P ( A & B ) = 1 desired / 6 total coins = 1/6
By the definition of conditional probability:
P ( B / A ) = P ( A & B ) / P ( A )
= 1/6 / 0.5
= 1 /3
