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.
Answer:
10,031.46
Rounded to the nearest 0.01 or
the Hundredths Place.
Step-by-step explanation:
Answer:
length = 17cm, width = 10cm
Step-by-step explanation:
2L + 2w = 54
L = w + 7
Substitute:
2(w + 7) + 2w = 54
2w + 14 + 2w = 54
4w = 40
w = 10
L = 10 + 7 = 17
Hey
Area of first rectangle = 18 x 21 = 378 in^2
Area of second rectangle = 17 x 9 = 153 in^2
Total area = 378+153 = 531 in^2
Option 1
Hope this helps :)
Answer:
A) 15x - 12
General Formulas and Concepts:
<u>Pre-Algebra</u>
<u>Algebra I</u>
Step-by-step explanation:
<u>Step 1: Define</u>
5x(3 - 12x) - 3(4 - 20x²)
<u>Step 2: Simplify</u>
- Distribute: 15x - 60x² - 12 + 60x²
- Combine like terms: 15x - 12
