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:
$7.60
Step-by-step explanation:
- Penny = $0.01
- Nickel = $0.05
- Dime = $0.10
- Quarter = $0.25
( 5 × 0.01 ) + ( 13 × 0.05 ) + ( 14 × 0.10 ) + ( 2 × 0.25 ) + 5
-<em>The 5 at the end represents the </em><u><em>one</em></u><em> five dollar bill.</em>
Simplified: (solve what is in the parenthesis)
0.05 + 0.65 + 1.4 + 0.50 + 5 = $7.60
Answer:
A. 
Step-by-step explanation:
I am joyous to assist you anytime.
Answer:
|1/2x - 20| ≥ 2
Step-by-step explanation:
The number is half of two and at least two units away.
