Answer:
the answer is 15x^8 y^3
Step-by-step explanation:
the area of a rectangle is length times width right? this means you have to multiply the values that represent the length and width. in this case those values would be 5x^6 y^2 and 3x^2 y
step 1. set up your problem
it should look like this:
(5x^6 y^2)(3x^2 y)
step 2. multiply the values with corresponding variables
first, x values
(5x^6)(3x^2)
5×3=15 and x^6 × x^2=x^8 when multiplying exponents you add the powers the numbers are raised to. in this case 6+2=8
you should end up with 15x^8
next, y values
y^2 + y
remember what i said about multiplying exponents? you just add the power the variables are raised to. in this case, 2 and 1. when their is no exponent we just add a 1. so, 2+1=3
you end up with y^3
lastly, combine
15x^8 + y^3 = 15x^8y^3
First, find her rate for the day. Since she runs 10 laps a day, multiply.
400 times 10= 4000
Next, I'll convert kilometers into meters;
12 times 1000=12,000
Divide to find the days:
12,000/4,000=3
It will take 3 days to run a total of 12 kilometers.
Well first lets find the ROC (rate of change) in the sets of data.
1990 -> 134
2000 -> 139
so lets find the difference from the years given
2000-1990=10 so there is a 10 year gab
139-134=5 so there is a 5 million increase in the population
so divide 10 by 5 which gives us 2, so every year there is a 2 million increase in the population. so from 2000 to 2014 there is 14 years, so
14 x 2= 28, then add that to the latest population data
139+28=167
so the population in 2014 would be 167 million
Hope this helped!!
Option A is correct.
For testing, if x is a significant predictor of y in simple linear regression, we need to determine if the <u>slope </u><u>is </u><u>significantly different </u><u>from</u><u> zero</u>.
What is linear regression?
A statistical technique known as linear regression is used to represent the connection between a scalar answer and one or more explanatory factors. When there is just one explanatory variable, simple linear regression is employed; when there are numerous explanatory variables, multiple linear regression is utilized.
Based on the value of another variable, linear regression analysis makes predictions about the value of the first variable. The dependent variable is the one you're trying to forecast. The independent variable is the one you are utilizing to make a prediction about the value of the other variable.
Find more on linear regression: brainly.com/question/25987747
#SPJ4
Answer:
(x+1)²+(y-6)²=49
Step-by-step explanation:
