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:
Step-by-step explanation:
5 1/2%=0.024
3500 x 0.025 = 87.5
She paid 87.5$ dollars for the use of money
due date is after 6 months so
3500 times 6 = 21000
21000 times 0.025 = 525
She paid 525$ dollars on the due date
81.25 / 125 = 0.65
so 65 %
to check 65% * 125 = 81.25
hope this helps ;)
