Answer:
9 months
Step-by-step explanation:
651=58x+129
-129 -129
522=58x divide 522 by 58
=9
Answer:
Step 1 is wrong
Step-by-step explanation:






<h3>Hope it is helpful...</h3>
Answer:
<h3>
The option B) is correct.</h3><h3>
That is the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible is correct answer</h3>
Step-by-step explanation:
Given that " The least-squares regression line "
The least-squares regression line is <u>the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible.</u>
Therefore option B) is correct
For this case, the first thing we are going to do is assume that all the tests are worth the same.
Then, we define a variable:
x: score of Mona's last test
We write now the inequality that models the problem:

From here, we clear the value of x:
Answer:
the lowest grade that Mona can get for her last test so that her test average is 90 or more is:
x = 87
Answer:
Rahul by 1
Step-by-step explanation:
Johan - 3/7
Rahul - 4/9
1. Convert fractions
3/7 -> 27/63
4/9 -> 28/63
28/63 > 27/63
Rahul took more by 1/63