Answer:
t=0.57h
Step-by-step explanation:
Answer:y= -2/3 x -2
Step-by-step explanation:
you find the slope of the line and... I can't remember I did this so long ago
Answer:
4000 times greater
Answer:
Step-by-step explanation:
H = V/ pie r^2
H = 
R= 5 because the radius is half the diameter
Pies cancel out leaving you with:
H = 2200/5^2
H = 2200/25
H = 88
Hope this helps :)
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.
