M(x, y) = ((x1 + x2)/2, (y1 + y2)/2) = ((-2 + 4)/2, (5 - 9)/2) = (2/2, -4/2) = (1, -2)
That does not make sense sorry :(
Answer:
Answer is C.
Step-by-step explanation:
First you'd subtract .58 from 2.23 to get the price of the notebook.
2.23 - .58 = 1.65
(2.23×2)+1.65= 6.11
Now subtract 6.11 from ten to figure out the change amount.
10 - 6.11 = 3.89
Answer:
Hence the adjusted R-squared value for this model is 0.7205.
Step-by-step explanation:
Given n= sample size=20
Total Sum of square (SST) =1000
Model sum of square(SSR) =750
Residual Sum of Square (SSE)=250
The value of R ^2 for this model is,
R^2 = \frac{SSR}{SST}
R^2 = 750/1000 =0.75
Adjusted
:
Where k= number of regressors in the model.
