The following scatterplot shows the number of hits and home runs from 20 baseball players who had at least 10 hits during the season. Using the scatter plot predict how many home runs a person who hit 125 times would have. A) About 12
B) About 11
C) About 20
D) About 18

Step-by-step explanation:

Using this scatterplot, a line has been graphed using linear regression. We can use this line as our reference point and ignore the rest of the points on the graph.

We can examine this graph and find approximately what value of y is given when we provide an x value.

Since the number of hits is the x value, we can look at the graph to find how high the graph goes at that x value.

125 is right between 100 and 150, so we can start there and move up.

When we move up, we get a line that's in between 10 and 20. We can also see it's in the top half of that box. That means that the value of y for this will be more than 15.

Since it's not lying directly on 20, the only option left is 18.

Hope this helped!

15%

step-by-step explanation:

use the table and count the number of guesses that has two correct answers.

the following are two correct answers

10010, 01100, 11000

a total of 3 numbers having 2 correct guesses out of 20 questions.

probability of getting 2 correct guesses = the number of questions getting 2 correct answers / total number of questions.

= 3/20

to convert it into percent multiply by 100, we get

= 3/20 * 100

= 15%

the answer is 15%

you.

50- 250 is correct i did that one too

step-by-step explanation: