Line of best fit also known as a linear regression or a trend line, the line of best fit is common tool for showing how two variables are related.This can be established by:
Positive correlation
all scatter plots
negative correlation
Line of best fit is used in order to demonstrate any observed trends in order to predict future outcomes regarding the data point variable in use.
Answer: 5,499,187,200
<u>Step-by-step explanation:</u>
A coin is tossed 5 times.
There are two options (heads or tails) so the possible outcomes are: 2⁵
A six-sided die is rolled 4 times.
There are six options so the possible outcomes are: 6⁴
A group of 3 cards are drawn (without replacement).
The first outcome has 52 options, the second has 51 options, and the third has 50 options: 52 x 51 x 50
Now if we want the coin AND the die AND the cards, we have to multiply all of their possible outcomes:
2⁵ x 6⁴ x 52 x 51 x 50
= 32 x 1296 x 132,600
= 5,499,187,200
Answer:
A y = x + 1
Step-by-step explanation:
The line starts at 1 on the y-axis so the u intercept will be 1
One is a linear and the other is a quadratic polynomial.
And (x+2) is indeed a factor.
You can rewrite it as (x+2)(3x-7)
Answer:$303,480
Step-by-step explanation: with excellent credit which is $843 per month for 30 years. So first I did 12 x 30 = 360 since there are 360 months in 30 years. And then 843 x 360 = $303,480. So $303,480 is your answer
