Answer:
A. R2 = 0.6724, meaning 67.24% of the total variation in test scores can be explained by the least‑squares regression line.
Step-by-step explanation:
John is predicting test scores of students on the basis of their home work averages and he get the following regression equation
y=0.2 x +82.
Here, dependent variable y is the test scores and independent variable x is home averages because test scores are predicted on the basis of home work averages.
The coefficient of determination R² indicates the explained variability of dependent variable due to its linear relationship with independent variable.
We are given that correlation coefficient r= 0.82.
coefficient of determination R²=0.82²=0.6724 or 67.24%.
Thus, we can say that 67.24% of total variability in test scores is explained by its linear relationship with homework averages.
Also, we can say that, R2 = 0.6724, meaning 67.24% of the total variation in test scores can be explained by the least‑squares regression line.
Not enough information given.
Answer:
-30
Step-by-step explanation:
2*5 is 10
10*-3 is -30
1/4 per hamburger, 4 hamburgers=1 pound 20/4= B. 5 pounds
Find out how much she runs in 1 minute.
3/25=0.12 miles in a minute
To find the distance covered in 20 minutes;
(0.12)(20)
=2.4 miles
Hope I helped :)
