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Answer:
The predicted life expectancy of men in a country in which the life expectancy of women is 70 years is 65.33 years.
Step-by-step explanation:
The least square regression line is used to predict the value of the dependent variable from an independent variable.
The general form of a least square regression line is:
Here,
<em>y</em> = dependent variable
<em>x</em> = independent variable
<em>α</em> = intercept
<em>β</em> = slope
The regression line to predict the life expectancy of men in a country from the life expectancy of women in that country is:
Compute the life expectancy of men in a country in which the life expectancy of women is 70 years as follows:
Thus, the predicted life expectancy of men in a country in which the life expectancy of women is 70 years is 65.33 years.
We know that our bag has n white tiles and 5 black tiles.
So, the total number of tiles in the bag is n + 5.
We know that a tile is drawn at random and is replaced, then a second tile is drawn.
a) We want to find the probability that the first tile is white.
Because all the tiles have the same probability of being randomly drawn, the probability of drawing a white tile is just the quotient between the number of white tiles and the total number of tiles in the bag.
And for the second draw, we do not have any restrictions, so the probability is the above one.
b) Now we want both tiles to be white.
For the first one we already know the probability, which is:
And because the tile is replaced, the probability of drawing a white tile again is exactly the same:
The joint probability (the probability of both of these outcomes to happen together) is the product of the individual probabilities.
Probability =
If you want to read more about probability, you can read: