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:
the answer is b i thinkk.
-10.3 + y = 5.2
First, regroup the terms. / Your problem should look like:
Second, add 10.3 to both sides. / Your problem should look like:
Third, add 5.2 + 10.3 to get 15.5 / Your problem should look like:

Answer:
y = 15.5 (D)
Answer:
If spongebob recieved 4 candies for every 2 that Patrick Got then bob got 16 and patrick got 8.
Step-by-step explanation:
<span>800 % = 8.00 or 800/100 or 8/1
800 is bigger than 100, so 8 would go before the decimal! </span>