Step-by-step explanation:
Thank you for the points BTW why are u deleting it
Answer:
Step-by-step explanation:
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.
10+8/2-4
PEMDAS
parenthasese
exxonents
multiplication or division
addiotn or subtration next
10+8/2-4
8/2 first
4
10+4-4
add
10+4=14
minus
14-4=10
answer is 10
Prime factorizations - Wednesday work
1. 44 2^2 • 11
2. 125 5^3
3. 85 5 • 17
4. 39 3 • 13
5. 63 3^2 • 7
6. 240 2^4 • 3 • 5
7. 87 3 • 29
8. 45 3^2 • 5
