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.
First you need to turn this into an improper fraction. Then, using your improper fraction, you simplify
We have events:
A - <span>customer orders a chicken sandwich
</span>B - <span>customer orders french fries
and probabilities:
so:
</span>
0.09 is the answer, hope this helps
Answer:
Calm down, it's simple. Take 180 degrees and subtract M-2 from it. (180-125: 55) A is 55. Than you can fill in A. Repeat with other angles, looking for a pair that forms 180 degrees. Take the value you know and use it to calculate the other one. Take your time.
