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.
Answer:
1) solve x+1/x = 5
2) solve x³+1/x³
substitute x = 1/4 into the expression
139b + 1.29b = 50.73
2.49m + 2.69m = 51.63
Answer:-15,20
Step-by-step explanation:
Answer:
x = 16
Step-by-step explanation:
x/4 - 1 = 3
x/4 = 3+1
x/4 = 4
x = 4*4
x = 16
