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,−√10
Step-by-step explanation:
award brainliest
 
        
             
        
        
        

so,

it equals 12.49 or 12.5 depending on rounding
I hope this helps!
 
        
                    
             
        
        
        
Answer: Is this english or gibberish?
Step-by-step explanation:
 
        
             
        
        
        
Answer:
The value of 2 in the first digit is 100,000 times greater than the value of 2 in the second digit 
Step-by-step explanation:
Firstly, we need to know the value of the 2 in 234,567 and that is 200,000
The value of the 2 in 765,432 is simply 2
So the number of times the value of the first 2 is greater than the value of the second 2 is;
200,000/2 = 100,000
So the value of 2 in the first digit is 100,000 times greater than the value of 2 in the second digit