<em>Answer:</em>
<em>8</em>
<em>Step-by-step explanation:</em>
<em>6:0.75</em>
<em>0.75 divided by 0.75=1</em>
<em>6 divided by 0.75=8</em>
<em>8:1</em>
<em>Best,</em>
<em>SunflowerJada</em>
Answer: 3
Explanation:
She has 18 and uses half, 18/2=9
So now she has 9 eggs left, she uses one third, 9/3=3 (3 eggs is one third)
Now she only has six eggs left, she used half of those six to make dinner 6/2=3
She now has 3 eggs remaining.
Independent variable is the predictor variable which is the height and dependent variable is the response variable which is weight in this scenario.
The square of correlation coefficient gives the coefficient of determination. It is denoted by R² (R squared).
We are given:
R = 0.75
So,
R² = 0.75²
R² = 0.5625
R² = 56.25 %
The coefficient of determination tells how much of the trend of dependent data can be explained by the independent data using the linear regression model. So in the given case, Height can explain 56.25% of the trend in the weight.
Is there a table? Can you attach a picture of it?
Answer:
5
Step-by-step explanation:
move the terms 6x-4=16+2x
collect like terms 6x-2x=16+4
divide both sides 4x=20
x=5
